sábado, 25 de abril de 2020

System Hacking: Password Cracking Techniques And Types Of Passwords


This blog based on two major concepts:
  • Understand password-cracking techniques
  • Understand different types of passwords
  •  

The simplest way to crack the passwords

The first step is to access the system is that you should know how to crack the password of the target system. Passwords are the key element of information require to access the system, and users also selects passwords that are easy to guess such as mostly people has a passwords of their pet's name or room number etc to help them remember it. Because of this human factor, most password guessing is successful if some information is known about the target. Information gathering and reconnaissance can help give away information that will help a hacker guess a user's password.

Once a password is guessed or cracked, it can be the launching point for escalating privileges, executing applications, hiding files, and covering tracks. If guessing a password fails, then passwords may be cracked manually or with automated tools such as a dictionary or brute-force method.

Types of Passwords 

  • Only numbers
  • Only letters
  • Only special characters
  • Letters and numbers
  • Only letters and special characters 
  • Numbers, letters and special characters
A strong password is less susceptible to attack by a hacker. The following rules, proposed by the EC-Council, should be applied when you're creating a password, to protect it against attacks:
  • Must not contain any part of the user's account name
  • Must have a minimum of eight characters
  • Must contain characters from at least three of the following categories:
    • Non alphanumeric symbols ($,:"%@!#)
    • Numbers
    • Uppercase letters
    • Lowercase letters
A hacker may use different types of attacks in order to identify a password and gain further access to a system. The types of password attacks are as follows:

Passive Online

​Eavesdropping on network password exchanges. Passive online attacks
include sniffing, man-in-the-middle, and replay attacks. Moreover, a passive online attack is also known as sniffing the password on a wired or wireless network. A passive attack is not detectable to the end user. The password is captured during the authentication process and can then be compared against a dictionary file or word list. User account passwords are commonly hashed or encrypted when sent on the network to prevent unauthorized access and use. If the password is protected by encryption or hashing, special tools in the hacker's toolkit can be used to break the algorithm.

Another passive online attack is known as man-in-the-middle (MITM). In a MITM attack, the hacker intercepts the authentication request and forwards it to the server. By inserting a sniffer between the client and the server, the hacker is able to sniff both connections and capture passwords in the process.

A replay attack is also a passive online attack; it occurs when the hacker intercepts the password en route to the authentication server and then captures and resend the authentication packets for later authentication. In this manner, the hacker doesn't have to break the password or learn the password through MITM but rather captures the password and reuses the password-authentication packets later to authenticate as the client.

Active Online

Guessing the Administrator password. Active online attacks include auto-
mated password guessing. Moreover, The easiest way to gain administrator-level access to a system is to guess a simple password assuming the administrator used a simple password. Password guessing is an active online attack. It relies on the human factor involved in password creation and only works on weak
passwords.

Assuming that the NetBIOS TCP 139 port is open, the most effective method of breaking into a Windows NT or Windows 2000 system is password guessing. This is done by attempting to connect to an enumerated share ( IPC$ or C$ ) and trying a username and password combination. The most commonly used Administrator account and password combinations are words like Admin, Administrator, Sysadmin, or Password, or a null password.
A hacker may first try to connect to a default Admin$ , C$ , or C:\Windows share. To connect to the hidden C: drive share, for example, type the following command in the Run field (Start ➪ Run):

\\ip_address\c$

Automated programs can quickly generate dictionary files, word lists, or every possible combination of letters, numbers, and special characters and then attempt to log on using those credentials. Most systems prevent this type of attack by setting a maximum number of login attempts on a system before the account is locked.

In the following sections, we'll discuss how hackers can perform automated password guessing more closely, as well as countermeasures to such attacks.

Performing Automated Password Guessing

To speed up the guessing of a password, hackers use automated tools. An easy process for automating password guessing is to use the Windows shell commands based on the standard NET USE syntax. To create a simple automated password-guessing script, perform the following steps:
  1. Create a simple username and password file using Windows Notepad. Automated tools such as the Dictionary Generator are available to create this word list. Save the file on the C: drive as credentials.txt.
  2. Pipe this file using the FOR command: C:\> FOR /F "token=1, 2*" %i in (credentials.txt)
  3. Type net use \\targetIP\IPC$ %i /u: %j to use the credentials.txt file to attempt to log on to the target system's hidden share.

Offline Attacks

Offline attacks are performed from a location other than the actual computer where the passwords reside or were used. Offline attacks usually require physical access to the computer and copying the password file from the system onto removable media. The hacker then takes the file to another computer to perform the cracking. Several types of offline password attacks exist.

Types of AttackCharacteristicsPassword Example
Dictionary attackAttempts to use passwords from a list of dictionary wordsAdministrator
Hybrid attackSubstitutes numbers of symbols for password charactersAdm1n1strator
Brute-force attackTries all possible combinations of letters, numbers, and special charactersMs!tr245@F5a

A dictionary attack is the simplest and quickest type of attack. It's used to identify a password that is an actual word, which can be found in a dictionary. Most commonly, the attack uses a dictionary file of possible words, which is hashed using the same algorithm used by the authentication process. Then, the hashed dictionary words are compared with hashed passwords as the user logs on, or with passwords stored in a file on the server. The dictionary attack works only if the password is an actual dictionary word; therefore, this type of attack has some limitations. It can't be used against strong passwords containing numbers or other symbols.

A hybrid attack is the next level of attack a hacker attempts if the password can't be found using a dictionary attack. The hybrid attack starts with a dictionary file and substitutes numbers and symbols for characters in the password. For example, many users add the number 1 to the end of their password to meet strong password requirements. A hybrid attack is designed to find those types of anomalies in passwords.

The most time-consuming type of attack is a brute-force attack, which tries every possible combination of uppercase and lowercase letters, numbers, and symbols. A brute-force attack is the slowest of the three types of attacks because of the many possible combinations of characters in the password. However, brute force is effective; given enough time and processing power, all passwords can eventually be identified.Related word

jueves, 23 de abril de 2020

AlienSpy Java RAT Samples And Traffic Information



AlienSpy Java based cross platform RAT is another reincarnation of ever popular Unrecom/Adwind and Frutas RATs that have been circulating through 2014.

It appears to be used in the same campaigns as was Unrccom/Adwind - see the references. If C2 responds, the java RAT downloads Jar files containing Windows Pony/Ponik loader. The RAT is crossplatform and installs and beacons from OSX and Linux as well. However, it did not download any additional malware while running on OSX and Linux.

The samples, pcaps, and traffic protocol information  are available below.




File information


I
File: DB46ADCFAE462E7C475C171FBE66DF82_paymentadvice.jar
Size: 131178
MD5:  DB46ADCFAE462E7C475C171FBE66DF82

File: 01234.exe (Pony loader dropped by FAB8DE636D6F1EC93EEECAADE8B9BC68 - Transfer.jar_
Size: 792122
MD5:  B5E7CD42B45F8670ADAF96BBCA5AE2D0

II
File: 79e9dd35aef6558461c4b93cd0c55b76_Purchase Order.jar
Size: 125985
MD5:  79E9DD35AEF6558461C4B93CD0C55B76

III
File: B2856B11FF23D35DA2C9C906C61781BA_purchaseorder.jar
Size: 49084
MD5:  b2856b11ff23d35da2c9c906c61781ba


Download


Original jar attachment files
B2856B11FF23D35DA2C9C906C61781BA_purchaseorder.jar
DB46ADCFAE462E7C475C171FBE66DF82_paymentadvice.jar
79e9dd35aef6558461c4b93cd0c55b76_Purchase Order.jar

Pcap files download
AlienSpyRAT_B2856B11FF23D35DA2C9C906C61781BA.pcap
AlienSpyRAT_79E9DD35AEF6558461C4B93CD0C55B76.pcap
Pony_B5E7CD42B45F8670ADAF96BBCA5AE2D0.pcap
AlienspyRAT_DB46ADCFAE462E7C475C171FBE66DF82-OSXLion.pcap
AlienspyRAT_DB46ADCFAE462E7C475C171FBE66DF82-WinXP.pcap

All files with created and downloaded


References

Research:
Boredliner: Cracking obfuscated java code - Adwind 3 << detailed java analysis
Fidelis: RAT in a jar:A phishing campaign using Unrecom May 21, 2014
Crowdstrike: Adwind RAT rebranding
Symantec:Adwind RAT
Symantec: Frutas RAT
Symantec: Ponik/Pony

Java Serialization References: 
https://docs.oracle.com/javase/7/docs/platform/serialization/spec/protocol.html
http://www.kdgregory.com/index.php?page=java.serialization
http://staf.cs.ui.ac.id/WebKuliah/java/MasteringJavaBeans/ch11.pdf


Additional File details


Alienspy RAT
The following RAT config strings are extracted from memory dumps. Alienspy RAT is a reincarnated Unrecom/Adwind << Frutas RAT and is available from https://alienspy.net/
As you see by the config, it is very similar to Unrecom/Adwind
File: paymentadvice.jar
Size: 131178

MD5:  DB46ADCFAE462E7C475C171FBE66DF82
    ───paymentadvice.jar
        ├───META-INF
        │       MANIFEST.MF  <<MD5:  11691d9f7d585c528ca22f7ba6f4a131 Size: 90
        │
        ├───plugins
        │       Server.class <<MD5:  3d9ffbe03567067ae0d68124b5b7b748 Size: 520 << Strings are here
        │
        └───stub
                EcryptedWrapper.class <<MD5:  f2701642ac72992c983cb85981a5aeb6 Size: 89870
                EncryptedLoader.class <<MD5:  3edfd511873b30d1373a4dc54db336ee Size: 223356
                EncryptedLoaderOld.class << MD5:  b0ef7ff41caf69d9ae076c605653c4c7 Size: 15816
                stub.dll << MD5:  64fb8dfb8d25a0273081e78e7c40ca5e Size: 43648 << Strings are here


Alienspy Rat Config strings
DB46ADCFAE462E7C475C171FBE66DF82
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
<comment>AlienSpy</comment>
<entry key="vbox">false</entry>
<entry key="password">a2e74aef2c17329f0e8e8f347c62a6a03d16b944</entry>
<entry key="p2">1079</entry>
<entry key="p1">1077</entry>
<entry key="ps_hacker">false</entry>
<entry key="install_time">2000</entry>
<entry key="taskmgr">false</entry>
<entry key="connetion_time">2000</entry>
<entry key="registryname">GKXeW0Yke7</entry>
<entry key="wireshark">false</entry>
<entry key="NAME">IHEAKA</entry>
<entry key="jarname">unXX0JIhwW</entry>
<entry key="dns">204.45.207.40</entry>
<entry key="ps_explorer">false</entry>
<entry key="msconfig">false</entry>
<entry key="pluginfoldername">m4w6OAI02f</entry>
<entry key="extensionname">xBQ</entry>
<entry key="install">true</entry>
<entry key="win_defender">false</entry>
<entry key="uac">false</entry>
<entry key="jarfoldername">9bor9J6cRd</entry>
<entry key="mutex">xooJlYrm61</entry>
<entry key="prefix">IHEAKA</entry>
<entry key="restore_system">false</entry>
<entry key="vmware">false</entry>
<entry key="desktop">true</entry>
<entry key="reconnetion_time">2000</entry>
</properties>

IP: 204.45.207.40
Decimal: 3425554216
Hostname: 212.clients.instantdedis.com
ISP: FDCservers.net
Country: United States
State/Region: Colorado
City: Denver



79E9DD35AEF6558461C4B93CD0C55B76
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
<comment>AlienSpy</comment>
<entry key="pluginfolder">fy0qFUFuLP</entry>
<entry key="reconnetion_time">3000</entry>
<entry key="ps_hacker">true</entry>
<entry key="restore_system">true</entry>
<entry key="pluginfoldername">fy0qFUFuLP</entry>
<entry key="dns">38.89.137.248</entry>
<entry key="install_time">3000</entry>
<entry key="port2">1065</entry>
<entry key="port1">1064</entry>
<entry key="taskmgr">true</entry>
<entry key="vmware">false</entry>
<entry key="jarname">LcuSMagrlF</entry>
<entry key="msconfig">true</entry>
<entry key="mutex">VblVc5kEqY</entry>
<entry key="install">true</entry>
<entry key="instalar">true</entry>
<entry key="vbox">false</entry>
<entry key="password">7110eda4d09e062aa5e4a390b0a572ac0d2c0220</entry>
<entry key="NAME">xmas things</entry>
<entry key="extensionname">7h8</entry>
<entry key="prefix">xmas</entry>
<entry key="jarfoldername">jcwDpUEpCh</entry>
<entry key="uac">true</entry>
<entry key="win_defender">true</entry>
<entry key="

IP: 38.89.137.248
Decimal: 643402232
Hostname: 38.89.137.248
ISP: Cogent Communications
Country: United States us flag


Created Files

I
 DB46ADCFAE462E7C475C171FBE66DF82  paymentadvice.jar

%USERPROFILE%\Application Data\evt88IWdHO\CnREgyvLBS.txt <<MD5:  abe6ef71e44d2e145033800d0dccea57 << strings are here (by classes)
%USERPROFILE%\Application Data\evt88IWdHO\Desktop.ini
%USERPROFILE%\Local Settings\Temp\asdqw15727804162199772615555.jar << Strings are here
%USERPROFILE%\Local Settings\Temp\iWimMQLgpsT2624529381479181764.png (seen Transfer.jar in the stream) <<MD5:  fab8de636d6f1ec93eeecaade8b9bc68 Size: 755017 << Strings are here
%USERPROFILE%\29OVHAabdr.tmp << timestamp file << Strings are here

\deleted_files\%USERPROFILE%\\29OVHAabdr.tmp << timestamp file << Strings are here
\deleted_files\%USERPROFILE%\\Application Data\9bor9J6cRd\Desktop.ini << Strings are here
\deleted_files\%USERPROFILE%\\Application Data\9bor9J6cRd\unXX0JIhwW.txt <MD5:  DB46ADCFAE462E7C475C171FBE66DF82 < original jar << Strings are here
\deleted_files\%USERPROFILE%\\Local Settings\Temp\14583359.bat << Strings are here
\deleted_files\%USERPROFILE%\\Local Settings\Temp\asdqw4727319084772952101234.exe << Pony Downloader MD5:  b5e7cd42b45f8670adaf96bbca5ae2d0 Size: 792122 < Strings are here
\deleted_files\%USERPROFILE%\\Local Settings\Temp\OiuFr7LcfXq1847924646026958055.vbs <<MD5:  9E1EDE0DEDADB7AF34C0222ADA2D58C9 Strings are here
\deleted_files\%USERPROFILE%\\xooJlYrm61.tmp < timestamp file << Strings are here
\deleted_files\C\WINDOWS\tem.txt - 0bytes

IWIMMQLGPST2624529381479181764.PNG MD5: fab8de636d6f1ec93eeecaade8b9bc68

├───com
│   └───java
│       │   Main.class << MD5:  d020b9fdac0139d43997f9ec14fa5947 Size: 7232
│       │   Manifest.mf << MD5:  a396d2898e8a83aa5233c4258de006e3 Size: 750412
│               │   01234.exe << MD5:  b5e7cd42b45f8670adaf96bbca5ae2d0 Size: 792122
│               │   15555.jar << MD5:  abe6ef71e44d2e145033800d0dccea57 Size: 50922
│              
│               └───15555
│                   │   ID
│                   │   Main.class << MD5:  d020b9fdac0139d43997f9ec14fa5947 Size: 7232
│                   │   MANIFEST.MF << MD5:  a396d2898e8a83aa5233c4258de006e3 Size: 750412
│                   │
│                   ├───META-INF
│                   └───plugins
└───META-INF
        MANIFEST.MF << MD5:  042c2fa9077d96478ce585d210641d9a Size: 171


File types
  1. 14583359.bat (.txt) "Text file"
  2. 29OVHAabdr.tmp (.txt) "Text file"
  3. asdqw15727804162199772615555.jar (.zip) "PKZIP Compressed"
  4. asdqw4727319084772952101234.exe (.exe) "Executable File" 
  5. CnREgyvLBS.txt (.zip) "PKZIP Compressed"
  6. Desktop.ini (.txt) "Text file"
  7. DFR5.tmp (.txt) "Text file"
  8. iWimMQLgpsT2624529381479181764.png (.zip) "Zip Compressed"
  9. iWimMQLgpsT2624529381479181764.png (.zip) "PKZIP Compressed"
  10. OiuFr7LcfXq1847924646026958055.vbs (.txt) "Vbs script file"
  11. tem.txt (.txt) "Text file"
  12. unXX0JIhwW.txt (.zip) "PKZIP Compressed"
  13. xooJlYrm61.tmp (.txt) "Text file"
II

79e9dd35aef6558461c4b93cd0c55b76 Purchase Order.jar
Received: from magix-webmail (webmail.app.magix-online.com [193.254.184.250])
by smtp.app.magix-online.com (Postfix) with ESMTPSA id B626052E77F;
Sun, 16 Nov 2014 14:54:06 +0100 (CET)
Received: from 206.217.192.188 ([206.217.192.188]) by
 webmail.magix-online.com (Horde Framework) with HTTP; Sun, 16 Nov 2014
 14:54:06 +0100
Date: Sun, 16 Nov 2014 14:54:06 +0100
Message-ID: <20141116145406.Horde.YL7L4Bi7ap6_NXm76DDEaw2@webmail.magix-online.com>
From: Outokumpu Import Co Ltd <purchase@brentyil.org>
Subject: Re: Confirm correct details
Reply-to: jingwings@outlook.com
User-Agent: Internet Messaging Program (IMP) H5 (6.1.4)
Content-Type: multipart/mixed; boundary="=_FMdois7zoq7xTAV91epZoQ6"
MIME-Version: 1.0
Content-Transfer-Encoding: 8bit
This message is in MIME format.
--=_FMdois7zoq7xTAV91epZoQ6
Content-Type: text/plain; charset=UTF-8; format=flowed; DelSp=Yes
Content-Disposition: inline
Content-Transfer-Encoding: 8bit
Dear Sir,
Please confirm the attached purchase order for your reference.
Please acknowledge Invoice for the final confirmation and confirm  
details are correct so we can proceed accordingly.
Please give me feedback through this email.
IBRAHIM MOHAMMAD AL FAR
Area Manager 
Central Region
Outokumpu Import Co Ltd
Tel:   +966-11-265-2030
Fax:  +966-11-265-0350
Mob: +966-50 610 8743
P.O Box: 172 Riyadh 11383
Kingdom of Saudi Arabia
--=_FMdois7zoq7xTAV91epZoQ6
Content-Type: application/java-archive; name="Purchase Order.jar"
Content-Description: Purchase Order.jar
Content-Disposition: attachment; size=125985; filename="Purchase Order.jar"
Content-Transfer-Encoding: base64

File paths
%USERPROFILE%\Application Data\jcwDpUEpCh\Desktop.ini
%USERPROFILE%\Application Data\jcwDpUEpCh\LcuSMagrlF.txt
%USERPROFILE%\Local Settings\History\History.IE5\MSHist012014111620141117\index.dat
%USERPROFILE%\Local Settings\Temp\hsperfdata_Laura\3884
%USERPROFILE%\VblVc5kEqY.tmp
deleted_files\%USERPROFILE%\Local Settings\Temp\TaskNetworkGathor267205042636993976.reg
deleted_files\%USERPROFILE%\VblVc5kEqY.tmp
deleted_files\C\WINDOWS\tem.txt

File types
Desktop.ini (.txt) "Text file"
index.dat (.txt) "Text file"
LcuSMagrlF.txt (.zip) "PKZIP Compressed"
TaskNetworkGathor267205042636993976.reg (.txt) "Text file"
tem.txt (.txt) "Text file"
VblVc5kEqY.tmp (.txt) "Text file"

MD5 list
Desktop.ini     e783bdd20a976eaeaae1ff4624487420
index.dat       b431d50792262b0ef75a3d79a4ca4a81
LcuSMagrlF.txt  79e9dd35aef6558461c4b93cd0c55b76
79e9dd35aef6558461c4b93cd0c55b76.malware       79e9dd35aef6558461c4b93cd0c55b76
TaskNetworkGathor267205042636993976.reg        6486acf0ca96ecdc981398855255b699 << Strings are here
tem.txt         d41d8cd98f00b204e9800998ecf8427e
VblVc5kEqY.tmp  b5c6ea9aaf042d88ee8cd61ec305880b

III
B2856B11FF23D35DA2C9C906C61781BA Purchase Order.jar
File paths
%USERPROFILE%\Application Data\Sys32\Desktop.ini
%USERPROFILE%\Application Data\Sys32\Windows.jar.txt
%USERPROFILE%\Local Settings\History\History.IE5\MSHist012014111620141117\index.dat
%USERPROFILE%\Local Settings\Temp\hsperfdata_Laura\1132
%USERPROFILE%\WWMI853JfC.tmp
deleted_files\%USERPROFILE%\Local Settings\Temp\TaskNetworkGathor7441169770678304780.reg
deleted_files\%USERPROFILE%\Local Settings\History\History.IE5\MSHist012013110920131110\index.dat
deleted_files\%USERPROFILE%\WWMI853JfC.tmp
deleted_files\C\DFRA.tmp

deleted_files\C\WINDOWS\tem

File type list
Desktop.ini (.txt) "Text file"
DFRA.tmp (.txt) "Text file"
index.dat (.txt) "Text file"
TaskNetworkGathor7441169770678304780.reg (.txt) "Text file"
tem (.txt) "Text file"
Windows.jar.txt (.zip) "PKZIP Compressed"

WWMI853JfC.tmp (.txt) "Text file"

MD5 list
Desktop.ini     e783bdd20a976eaeaae1ff4624487420
DFRA.tmp        d41d8cd98f00b204e9800998ecf8427e
index.dat       b431d50792262b0ef75a3d79a4ca4a81
purchase.jar    b2856b11ff23d35da2c9c906c61781ba
TaskNetworkGathor7441169770678304780.reg       311af3b9a52ffc58f46ad83afb1e93b6
tem             d41d8cd98f00b204e9800998ecf8427e
Windows.jar.txt b2856b11ff23d35da2c9c906c61781ba
WWMI853JfC.tmp  8e222c61fc55c230407ef1eb21a7daa9



Traffic Information

Java Serialization Protocol traffic info

DB46ADCFAE462E7C475C171FBE66DF82 traffic capture - Windows XP
00000000  ac ed 00 05                                      ....
    00000000  ac ed 00 05                                      ....
00000004  75 72 00 02 5b 42 ac f3  17 f8 06 08 54 e0 02 00 ur..[B.. ....T...
00000014  00                                               .
00000015  78 70 00 00 03 2a 1f 8b  08 00 00 00 00 00 00 00 xp...*.. ........
00000025  6d 54 dd 8e d3 46 18 1d  12 16 b2 bb 59 40 fc 5d mT...F.. ....Y@.]
00000035  bb 52 2b 71 83 d7 76 1c  3b a1 12 10 58 16 36 2c .R+q..v. ;...X.6,
00000045  14 95 56 1b 24 4b d6 17  7b 9c cc 66 3c e3 ce 8c ..V.$K.. {..f<...
00000055  d7 a6 17 7d 8e 3e 44 1f  a0 12 2f c1 43 f4 b6 ef ...}.>D. ../.C...
00000065  d0 cf 6c 76 1d 2a 22 d9  19 7b be 9f 73 be 73 c6 ..lv.*". .{..s.s.
00000075  7f fd 4b b6 b4 22 77 4f  e1 0c ec d2 30 6e bf 53 ..K.."wO ....0n.S

DB46ADCFAE462E7C475C171FBE66DF82 traffic capture - OSX Lion
00000000  ac ed 00 05                                      ....
    00000000  ac ed 00 05                                      ....
00000004  75 72 00 02 5b 42 ac f3  17 f8 06 08 54 e0 02 00 ur..[B.. ....T...
00000014  00                                               .
00000015  78 70 00 00 03 33 1f 8b  08 00 00 00 00 00 00 00 xp...3.. ........
00000025  75 54 cd 6e db 46 10 de  c8 b5 2d ff 26 c8 1f 7a uT.n.F.. ..-.&..z
00000035  54 0f 45 7b d1 92 5c d1  94 89 02 4d 94 c0 b1 a5 T.E{..\. ...M....
00000045  d8 4d 51 23 89 73 22 56  dc a5 b5 16 b9 cb ec 2e .MQ#.s"V ........

B2856B11FF23D35DA2C9C906C61781BA on Windows XP
00000000  ac ed 00 05                                      ....
    00000000  ac ed 00 05                                      ....
00000004  75 72 00 02 5b 42 ac f3  17 f8 06 08 54 e0 02 00 ur..[B.. ....T...
00000014  00                                               .
00000015  78 70 00 00 03 63 1f 8b  08 00 00 00 00 00 00 00 xp...c.. ........
00000025  6d 54 5d 6e db 46 10 de  48 91 2d db 8a 13 24 41 mT]n.F.. H.-...$A
00000035  fa ca 3e 14 08 0a 84 e6  bf a4 16 68 9a c4 75 1b ..>..... ...h..u.
00000045  c3 6e 0d b8 85 13 80 00  31 22 57 d2 5a e4 ee 76 .n...... 1"W.Z..v

79E9DD35AEF6558461C4B93CD0C55B76 - Windows XP
00000000  ac ed 00 05                                      ....
    00000000  ac ed 00 05                                      ....
00000004  75 72 00 02 5b 42 ac f3  17 f8 06 08 54 e0 02 00 ur..[B.. ....T...
00000014  00                                               .
00000015  78 70 00 00 03 69 1f 8b  08 00 00 00 00 00 00 00 xp...i.. ........
00000025  6d 54 dd 6e db 36 14 66  ed fc 38 89 9b 16 ed d0 mT.n.6.f ..8.....
00000035  de 6a 17 03 8a 01 53 28  d9 92 ed 0d e8 d6 34 71 .j....S( ......4q

00000045  b6 c0 19 02 64 69 3b c0  80 70 2c d1 36 6d 4a 62 ....di;. .p,.6mJb



Serialization Protocol decoding:


The following fields are part of the serialization protocol and are 'benign" and common.

AC ED (¬í) - Java Serialization protocol magic STREAM_MAGIC = (short)0xaced. 
00 05    -  Serialization Version STREAM_VERSION
75    (u) - Specifies that this is a new array - newArray: TC_ARRAY
72          (r) -  Specifies that this is a new class - newClassDesc: TC_CLASSDESC
00 02        - Length of the class name
5B 42 AC F3 17 F8 06 08 54 E0 ([B¬ó.ø..Tà) This is a Serial class name and version identifier section but data appears to be encrypted
02 00   - Is Serializable Flag - SC_SERIALIZABLE 
78 70  (xp)  - some low-level information identifying serialized fields
1f 8b 08 00 00 00 00 00 00 00 - GZIP header as seen in the serialization stream

As you see, all Windows traffic captures have identical fields  following the GZIP stream, while OSX traffic has different data. The jar files that had Pony Downloader payload did not have other OSX malware packaged and I saw no activity on OSX other than calling the C2 and writing to the randomly named timestamp file (e.g VblVc5kEqY.tmp - updating current timestamp in Unix epoch format)

Combination of the Stream Magic exchange, plus all other benign fields in this order will create a usable signature. However, it will be prone to false positives unless you use fields after the GZIP header for OS specific signatures

Another signature can be based on the transfer. jar download as seen below


DB46ADCFAE462E7C475C171FBE66DF82  - downloading fab8de636d6f1ec93eeecaade8b9bc68 
iWimMQLgpsT2624529381479181764.png (seen Transfer.jar in the stream) , which contains 15555.jar in Manifest.mf, which contains 15555.exe (Pony loader) in its' Manfest.mf

IHEAKA _000C297  << IHEAKA is the name of the RAT client, it is different in each infection.

00000000  ac ed 00 05                                      ....
    00000000  ac ed 00 05                                      ....
00000004  77 04                                            w.
00000006  00 00 00 01                                      ....
0000000A  77 15                                            w.
0000000C  00 13 49 48 45 41 4b 41  5f 30 30 30 43 32 39 37 ..IHEAKA _000C297
0000001C  42 41 38 44 41                                   BA8DA
    00000004  77 0e 00 0c 54 72 61 6e  73 66 65 72 2e 6a 61 72 w...Tran sfer.jar
    00000014  7a 00 00 04 00 50 4b 03  04 14 00 08 08 08 00 46 z....PK. .......F
    00000024  0c 71 45 00 00 00 00 00  00 00 00 00 00 00 00 14 .qE..... ........
    00000034  00 04 00 4d 45 54 41 2d  49 4e 46 2f 4d 41 4e 49 ...META- INF/MANI
    00000044  46 45 53 54 2e 4d 46 fe  ca 00 00 4d 8d 4d 0b c2 FEST.MF. ...M.M..

---- snip----

000ABBA0  00 09 00 00 00 31 35 35  35 35 2e 6a 61 72 74 97 .....155 55.jart.
    000ABBB0  43 70 26 8c a2 44 63 db  9c d8 b6 9d 7c b1 6d db Cp&..Dc. ....|.m.
    000ABBC0  c6 c4 b6 6d db b6 6d db  99 d8 76 f2 fe e5 dd bc ...m..m. ..v.....


Pony downloader traffic

 HTTP requests
URL: http://meetngreetindia.com/scala/gate.php
TYPE: POST
USER AGENT: Mozilla/4.0 (compatible; MSIE 5.0; Windows 98)
URL: http://meetngreetindia.com/scala/gate.php
TYPE: GET
USER AGENT: Mozilla/4.0 (compatible; MSIE 5.0; Windows 98)
 DNS requests
meetngreetindia.com (50.28.15.25)
 TCP connections
50.28.15.25:80

IP: 50.28.15.25
Decimal: 840699673
Hostname: mahanadi3.ewebguru.net
ISP: Liquid Web
Organization: eWebGuru
State/Region: Michigan
City: Lansing

https://www.virustotal.com/en/ip-address/50.28.15.25/information/




IP-Domain Information
I
DB46ADCFAE462E7C475C171FBE66DF82 paymentadvice.jar 
IP: 204.45.207.40
Decimal: 3425554216
Hostname: 212.clients.instantdedis.com
ISP: FDCservers.net
Country: United States
State/Region: Colorado
City: Denver

meetngreetindia.com (50.28.15.25)
 TCP connections
50.28.15.25:80
Decimal: 840699673
Hostname: mahanadi3.ewebguru.net
ISP: Liquid Web
Organization: eWebGuru
State/Region: Michigan
City: Lansing

II
79E9DD35AEF6558461C4B93CD0C55B76 Purchase order.jar
IP: 38.89.137.248
Decimal: 643402232
Hostname: 38.89.137.248
ISP: Cogent Communications
Country: United States us flag

III
2856B11FF23D35DA2C9C906C61781BA Purchase order.jar
installone.no-ip.biz
IP Address:   185.32.221.17
Country:      Switzerland
Network Name: CH-DATASOURCE-20130812
Owner Name:   Datasource AG
From IP:      185.32.220.0
To IP:        185.32.223.255
Allocated:    Yes
Contact Name: Rolf Tschumi
Address:      mgw online service, Roetihalde 12, CH-8820 Waedenswil
Email:        rolf.tschumi@mgw.ch
Abuse Email:  abuse@softplus.net
   








Virustotal

https://www.virustotal.com/en/file/02d1e6dd2f3eecf809d8cd43b5b49aa76c6f322cf4776d7b190676c5f12d6b45/analysis/SHA256: 02d1e6dd2f3eecf809d8cd43b5b49aa76c6f322cf4776d7b190676c5f12d6b45
MD5 db46adcfae462e7c475c171fbe66df82
SHA1 2b43211053d00147b2cb9847843911c771fd3db4
SHA256 02d1e6dd2f3eecf809d8cd43b5b49aa76c6f322cf4776d7b190676c5f12d6b45
ssdeep3072:VR/6ZQvChcDfJNBOFJKMRXcCqfrCUMBpXOg84WoUeonNTFN:LdvCGJN0FJ1RXcgBpXOjOjSNTFN
File size 128.1 KB ( 131178 bytes )
File type ZIP
Magic literalZip archive data, at least v2.0 to extract
TrID ZIP compressed archive (100.0%)
File name: Payment Advice.jar
Detection ratio: 6 / 54
Analysis date: 2014-11-16 20:58:08 UTC ( 1 day, 4 hours ago )
Ikarus Trojan.Java.Adwind 20141116
TrendMicro JAVA_ADWIND.XXO 20141116
TrendMicro-HouseCall JAVA_ADWIND.XXO 20141116
DrWeb Java.Adwind.3 20141116
Kaspersky HEUR:Trojan.Java.Generic 20141116
ESET-NOD32 a variant of Java/Adwind.T 20141116

https://www.virustotal.com/en/file/733c037f886d91b6874ac4a2de5b32ca1e7f7f992928b01579b76603b233110c/analysis/1416194595/
SHA256: 733c037f886d91b6874ac4a2de5b32ca1e7f7f992928b01579b76603b233110c
MD5 fab8de636d6f1ec93eeecaade8b9bc68
File name: iWimMQLgpsT2624529381479181764.png
Detection ratio: 23 / 53
Analysis date: 2014-11-17 03:23:15 UTC ( 0 minutes ago )
AVG Zbot.URE 20141116
Qihoo-360 Win32/Trojan.fff 20141117
ESET-NOD32 Win32/PSW.Fareit.A 20141117
Fortinet W32/Inject.SXVW!tr 20141117
Antiy-AVL Trojan[PSW]/Win32.Tepfer 20141117
AVware Trojan.Win32.Generic!BT 20141117
DrWeb Trojan.PWS.Stealer.13319 20141117
Symantec Trojan.Maljava 20141117
McAfee RDN/Generic Exploit!1m3 20141117
McAfee-GW-Edition RDN/Generic Exploit!1m3 20141117
Sophos Mal/JavaJar-A 20141117
Avast Java:Malware-gen [Trj] 20141117
Cyren Java/Agent.KS 20141117
F-Prot Java/Agent.KS 20141117
Kaspersky HEUR:Trojan.Java.Generic 20141117
Emsisoft Gen:Variant.Kazy.494557 (B) 20141117
Ad-Aware Gen:Variant.Kazy.494557 20141117
BitDefender Gen:Variant.Kazy.494557 20141117
F-Secure Gen:Variant.Kazy.494557 20141116
GData Gen:Variant.Kazy.494557 20141117
MicroWorld-eScan Gen:Variant.Kazy.494557 20141117
Ikarus Exploit.Java.Agent 20141117
Norman Adwind.E 20141116

https://www.virustotal.com/en/file/91d71b06c99fe25271ba19c1c47c2d1ba85e78c2d7d5ae74e97417dc958dc725/analysis/
MD5 b5e7cd42b45f8670adaf96bbca5ae2d0
SHA256: 91d71b06c99fe25271ba19c1c47c2d1ba85e78c2d7d5ae74e97417dc958dc725
File name: asdqw4727319084772952101234.exe
Detection ratio: 12 / 54
Analysis date: 2014-11-17 03:21:30 UTC
AVG Zbot.URE 20141116
AVware Trojan.Win32.Generic!BT 20141117
Ad-Aware Gen:Variant.Kazy.494557 20141117
Antiy-AVL Trojan[PSW]/Win32.Tepfer 20141116
BitDefender Gen:Variant.Kazy.494557 20141117
DrWeb Trojan.PWS.Stealer.13319 20141117
ESET-NOD32 Win32/PSW.Fareit.A 20141117
Emsisoft Gen:Variant.Kazy.494557 (B) 20141117
F-Secure Gen:Variant.Kazy.494557 20141116
GData Gen:Variant.Kazy.494557 20141117
MicroWorld-eScan Gen:Variant.Kazy.494557 20141117
Qihoo-360 Win32/Trojan.fff 20141117




More information
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miércoles, 22 de abril de 2020

How To Track Iphone Without Them Knowing

Few feelings are as stomach-sinkingly awful as the thought of losing an expensive new iPhone. Whether you left it on the bus or someone slid it out of your back pocket, we put so much store in our phones that their loss leaves is saddened and angered. Most of us keep at least copies of everything in our lives on our phones, from personal conversations to emails, 


To say nothing of all our personal information and social media accounts. Of course there are security measures in place, but nobody wants to risk having all that information fall into the hands of the wrong people. In this article, I will show you how to find a phone that has been lost, whether your own phone or the phone of a friend or family member.

Can you track an iPhone without them knowing?

First off, hopefully you activated the Find My Phone feature of your iPhone when you still had it in your possession. Secondly, if your phone doesn't have service (and thus a connection to the Internet) or if you don't have iCloud set up, then these solutions are not going to work for you. Unfortunately phone technology is advanced but it isn't magical; if your phone isn't talking to the network or if you haven't turned on Find My Phone, then unfortunately the technological solution is probably not going to work. (Seriously. If you have possession of your phone(s) then stop reading this article, pick up your devices, go to Settings and select "Find My Phone" (iPhone) or "Find My Device" (Android) and make sure they are toggled on. TTjem upi cam dp ot/"

Without further ado, let's find your phone!

Can I Tell if Someone is Tracking my iPhone?

 

image1-3

Usually yes, if someone is using the "Find my Phone" feature, it will be displaying things on the iPhone screen. Thankfully, "Find My iPhone" comes pre-loaded on all phones with iOs 9 or newer. "Find my iPhone" is the gold standard when it comes to locating your lost iPhone. The service is integrated as part of iCloud. Here's how to use it to find your missing iPhone then track down your phone's exact location.

Step 1: Open up the "Find My iPhone" on a different device

It doesn't matter if you decide to use your iPad, your laptop, or a friend's iPhone – you can run the Find My Phone app fr0m Mac. You can use the Find my Phone app.

If you are using an Apple product like another phone or an iPad, you can simply click on the app.

If you are using a computer (even a Windows PC will work), go to icloud.com then click on the "Find iPhone" icon. Once you've clicked on the "Find iPhone" icon the website process and "Find my iPhone" app process are the same.

Step 2: Input Your Apple ID Credentials (they are the same as your iCloud info)

Since you are not using your phone, you won't be automatically logged in.

Once you log in to the app, select the "All Devices" drop-down option and then find the device that you want to locate.

Step 3: Once You Select Your Phone, Options Will Appear

As soon as you select your device on the page, iCloud will begin to search for it. If the search is successful, you will see your device on a map, pinpointing it's location. Before you sprint out the door to get it, there are some other options you should take a look at.

Once you select your device you will have three additional options in addition to seeing your phone's location. These options are playing a sound, activating "Lost Mode" and erase the phone.

Playing the sound is a great way to find your phone if you lost it somewhere around your house. If you click the option, an audio alert will go off on your phone which will hopefully help you find it. The alert will sound like a loud pinging noise alerting you that your phone is at home with you and not at the coffee shop you just visited. If you hear the pinging sound then you'll quickly find your phone by just following the sound.

When enabled, Lost Mode will lock your phone with a passcode and will display a message of your choice. This can either ensure it will be safe until you can find it, or will alert the thief what you expect of them and that you know where they are. This mode can also enable location services on your phone too.

However, if things have gone too far and you think there is a very slim chance you will ever get your device back – perhaps your phone has already crossed an international border – the best course of action is to simply erase it. Yes, this is giving up, but it also prevents your personal information getting into the hands of someone who could abuse it.

If you follow these steps, you should have your phone back in your pocket in no time. 

Is there an app to track someones phone without them knowing?

maxresdefault-11

What if you're looking for someone else's phone? I'm sorry to burst your bubble, but you are not allowed to track someone else's phone without their knowledge. While there are supposedly apps that you can install on a target's phone to track it and keep tabs on what they are doing on it, that is completely illegal and immoral. In addition to the moral issue, there is the practical fact that they could find the app which could lead to a very awkward situation, possibly one involving the police.

However, there are times when you want to find a friend's phone and you have a legitimate reason, and (the important part) they have given you permission to find it. Just as when you were looking for your own phone, there is an app that can help you find the phones of your friends and family with ease. The "Find My Friends" app used to be an extra download, but now it comes with iOS, so if your friends have ever updated their phone, they should have it.

"Find My Friends" is an app that basically allows you to share your location with others and vice versa. It can be great for keeping track of where your kids are, knowing what your significant other is doing, or just keeping tabs on your friends. It can also help them find a lost phone (as long as you have "Shared Locations" with them). Here is how to set it up:

Step 1: Open the app on your phone and the phone of the person you want to be able to share locations with.

Step 2: Click your profile in the bottom left of the screen.

Step 3: Enable "Share My Location" and make sure AirDrop is enabled on your own phone.

Step 4: From there, your friends and family will be able to search/add you to share your location with them and vice versa. You each will need to accept the "Shared Location" request from the other. Now, you can just click on their profile in the app and keep track of them.

As you likely realized while reading this article, it is a much better idea to be proactive than reactive when it comes to tracking phones. If you set up "Find My iPhone" and "Find My Friends" before your phone gets stolen or lost, it will save you a lot of potential hassle down the road. While it may be a bit worrisome to have someone be able to see your location at all times, it can really save you once your phone goes missing and you need to track it down. It is obviously best to pick someone who you trust not to take advantage of the information an app like "Find My Friends" can provide them.

No one deserves to have their phone stolen or go missing, but thankfully, there are some ways to find it, or at least have the information deleted. Hopefully, this guide helped you be able to find your phone or the phone of your friends and family, or at least prepared you for when it may happen.

If you have other ways of finding a lost phone, please share them with us below!

@EVERYTHING NT

More info


Practical Bleichenbacher Attacks On IPsec IKE

We found out that reusing a key pair across different versions and modes of IPsec IKE can lead to cross-protocol authentication bypasses, enabling the impersonation of a victim host or network by attackers. These vulnerabilities existed in implementations by Cisco, Huawei, and others.

This week at the USENIX Security conference, I will present our research paper on IPsec attacks: The Dangers of Key Reuse: Practical Attacks on IPsec IKE written by Martin Grothe, Jörg Schwenk, and me from Ruhr University Bochum as well as Adam Czubak and Marcin Szymanek from the University of Opole [alternative link to the paper]. This blog post is intended for people who like to get a comprehensive summary of our findings rather than to read a long research paper.

IPsec and Internet Key Exchange (IKE)

IPsec enables cryptographic protection of IP packets. It is commonly used to build VPNs (Virtual Private Networks). For key establishment, the IKE protocol is used. IKE exists in two versions, each with different modes, different phases, several authentication methods, and configuration options. Therefore, IKE is one of the most complex cryptographic protocols in use.

In version 1 of IKE (IKEv1), four authentication methods are available for Phase 1, in which initial authenticated keying material is established: Two public key encryption based methods, one signature based method, and a PSK (Pre-Shared Key) based method.

Attacks on IKE implementations

With our attacks we can impersonate an IKE device: If the attack is successful, we share a set of (falsely) authenticated symmetric keys with the victim device, and can successfully complete the handshake – this holds for both IKEv1 and IKEv2. The attacks are based on Bleichenbacher oracles in the IKEv1 implementations of four large network equipment manufacturers: Cisco, Huawei, Clavister, and ZyXEL. These Bleichenbacher oracles can also be used to forge digital signatures, which breaks the signature based IKEv1 and IKEv2 variants. Those who are unfamiliar with Bleichenbacher attacks may read this post by our colleague Juraj Somorovsky for an explanation.

The affected hardware test devices by Huawei, Cisco, and ZyXEL in our network lab.

We show that the strength of these oracles is sufficient to break all handshake variants in IKEv1 and IKEv2 (except those based on PSKs) when given access to powerful network equipment. We furthermore demonstrate that key reuse across protocols as implemented in certain network equipment carries high security risks.

We additionally show that both PSK based modes can be broken with an offline dictionary attack if the PSK has low entropy. Such an attack was previously only documented for one of those modes (edit: see this comment). We thus show attacks against all authentication modes in both IKEv1 and IKEv2 under reasonable assumptions.

The relationship between IKEv1 Phase 1, Phase 2, and IPsec ESP. Multiple simultaneous Phase 2 connections can be established from a single Phase 1 connection. Grey parts are encrypted, either with IKE derived keys (light grey) or with IPsec keys (dark grey). The numbers at the curly brackets denote the number of messages to be exchanged in the protocol.

Where's the bug?

The public key encryption (PKE) based authentication mode of IKE requires that both parties exchanged their public keys securely beforehand (e. g. with certificates during an earlier handshake with signature based authentication). RFC 2409 advertises this mode of authentication with a plausibly deniable exchange to raise the privacy level. In this mode, messages three and four of the handshake exchange encrypted nonces and identities. They are encrypted using the public key of the respective other party. The encoding format for the ciphertexts is PKCS #1 v1.5.

Bleichenbacher attacks are adaptive chosen ciphertext attacks against RSA-PKCS #1 v1.5. Though the attack has been known for two decades, it is a common pitfall for developers. The mandatory use of PKCS #1 v1.5 in the PKE authentication methods raised suspicion of whether implementations resist Bleichenbacher attacks.

PKE authentication is available and fully functional in Cisco's IOS operating system. In Clavister's cOS and ZyXEL's ZyWALL USG devices, PKE is not officially available. There is no documentation and no configuration option for it and it is therefore not fully functional. Nevertheless, these implementations processed messages using PKE authentication in our tests.

Huawei implements a revised mode of the PKE mode mentioned in the RFC that saves one private key operation per peer (we call it RPKE mode). It is available in certain Huawei devices including the Secospace USG2000 series.

We were able to confirm the existence of Bleichenbacher oracles in all these implementations. Here are the CVE entries and security advisories by the vendors (I will add links once they are available):
On an abstract level, these oracles work as follows: If we replace the ciphertext of the nonce in the third handshake message with a modified RSA ciphertext, the responder will either indicate an error (Cisco, Clavister, and ZyXEL) or silently abort (Huawei) if the ciphertext is not PKCS #1 v1.5 compliant. Otherwise, the responder continues with the fourth message (Cisco and Huawei) or return an error notification with a different message (Clavister and ZyXEL) if the ciphertext is in fact PKCS #1 v1.5 compliant. Each time we learn that the ciphertext was valid, we can advance the Bleichenbacher attack one more step.

A Bleichenbacher Attack Against PKE

If a Bleichenbacher oracle is discovered in a TLS implementation, then TLS-RSA is broken since one can compute the Premaster Secret and the TLS session keys without any time limit on the usage of the oracle. For IKEv1, the situation is more difficult: Even if there is a strong Bleichenbacher oracle in PKE and RPKE mode, our attack must succeed within the lifetime of the IKEv1 Phase 1 session, since a Diffie-Hellman key exchange during the handshake provides an additional layer of security that is not present in TLS-RSA. For example, for Cisco this time limit is currently fixed to 60 seconds for IKEv1 and 240 seconds for IKEv2.

To phrase it differently: In TLS-RSA, a Bleichenbacher oracle allows to perform an ex post attack to break the confidentiality of the TLS session later on, whereas in IKEv1 a Bleichenbacher oracle only can be used to perform an online attack to impersonate one of the two parties in real time.

Bleichenbacher attack against IKEv1 PKE based authentication.

The figure above depicts a direct attack on IKEv1 PKE:
  1. The attackers initiate an IKEv1 PKE based key exchange with Responder A and adhere to the protocol until receiving the fourth message. They extract the encrypted nonce from this message, and record the other public values of the handshake.
  2. The attackers keep the IKE handshake with Responder A alive as long as the responder allows. For Cisco and ZyXEL we know that handshakes are cancelled after 60 seconds, Clavister and Huawei do so after 30 seconds.
  3. The attackers initiate several parallel PKE based key exchanges to Responder B.
    • In each of these exchanges, they send and receive the first two messages according to the protocol specifications.
    • In the third message, they include a modified version of the encrypted nonce according to the the Bleichenbacher attack methodology.
    • They wait until they receive an answer or they can reliably determine that this message will not be sent (timeout or reception of a repeated second handshake message).
  4. After receiving enough answers from Responder B, the attackers can compute the plaintext of the nonce.
  5. The attackers now have all the information to complete the key derivation and the handshake. They thus can impersonate Responder B to Responder A.

Key Reuse

Maintaining individual keys and key pairs for each protocol version, mode, and authentication method of IKE is difficult to achieve in practice. It is oftentimes simply not supported by implementations. This is the case with the implementations by Clavister and ZyXEL, for example. Thus, it is common practice to have only one RSA key pair for the whole IKE protocol family. The actual security of the protocol family in this case crucially depends on its cross-ciphersuite and cross-version security. In fact, our Huawei test device reuses its RSA key pair even for SSH host identification, which further exposes this key pair.

A Cross-Protocol Version Attack with Digital Signature Based Authentication

Signature Forgery Using Bleichenbacher's Attack

It is well known that in the case of RSA, performing a decryption and creating a signature is mathematically the same operation. Bleichenbacher's original paper already mentioned that the attack could also be used to forge signatures over attacker-chosen data. In two papers that my colleagues at our chair have published, this has been exploited for attacks on XML-based Web Services, TLS 1.3, and Google's QUIC protocol. The ROBOT paper used this attack to forge a signature from Facebook's web servers as proof of exploitability.

IKEv2 With Digital Signatures

Digital signature based authentication is supported by both IKEv1 and IKEv2. We focus here on IKEv2 because on Cisco routers, an IKEv2 handshake may take up to four minutes. This more relaxed timer compared to IKEv1 makes it an interesting attack target.

I promised that this blogpost will only give a comprehensive summary, therefore I am skipping all the details about IKEv2 here. It is enough to know that the structure of IKEv2 is fundamentally different from IKEv1.

If you're familiar with IT-security, then you will believe me that if digital signatures are used for authentication, it is not particularly good if an attacker can get a signature over attacker chosen data. We managed to develop an attack that exploits an IKEv1 Bleichenbacher oracle at some peer A to get a signature that can be used to break the IKEv2 authentication at another peer B. This requires that peer A reuses its key pair for IKEv2 also for IKEv1. For the details, please read our paper [alternative link to the paper].

Evaluation and Results

For testing the attack, we used a Cisco ASR 1001-X router running IOS XE in version 03.16.02.S with IOS version 15.5(3)S2. Unfortunately, Cisco's implementation is not optimized for throughput. From our observations we assume that all cryptographic calculations for IKE are done by the device's CPU despite it having a hardware accelerator for cryptography. One can easily overload the device's CPU for several seconds with a standard PC bursting handshake messages, even with the default limit for concurrent handshakes. And even if the CPU load is kept below 100 %, we nevertheless observed packet loss.

For the decryption attack on Cisco's IKEv1 responder, we need to finish the Bleichenbacher attack in 60 seconds. If the public key of our ASR 1001-X router is 1024 bits long, we measured an average of 850 responses to Bleichenbacher requests per second. Therefore, an attack must succeed with at most 51,000 Bleichenbacher requests.

But another limit is the management of Security Associations (SAs). There is a global limit of 900 Phase 1 SAs under negotiation per Cisco device in the default configuration. If this number is exceeded, one is blocked. Thus, one cannot start individual handshakes for each Bleichenbacher request to issue. Instead, SAs have to be reused as long as their error counter allows. Furthermore, establishing SAs with Cisco IOS is really slow. During the attack, the negotiations in the first two messages of IKEv1 require more time than the actual Bleichenbacher attack.

We managed to perform a successful decryption attack against our ASR 1001-X router with approximately 19,000 Bleichenbacher requests. However, due to the necessary SA negotiations, the attack took 13 minutes.

For the statistics and for the attack evaluation of digital signature forgery, we used a simulator with an oracle that behaves exactly as the ones by Cisco, Clavister, and ZyXEL. We found that about 26% of attacks against IKEv1 could be successful based on the cryptographic performance of our Cisco device. For digital signature forgery, about 22% of attacks could be successful under the same assumptions.

Note that (without a patched IOS), only non-cryptographic performance issues prevented a succesful attack on our Cisco device. There might be faster devices that do not suffer from this. Also note that a too slow Bleichenbacher attack does not permanently lock out attackers. If a timeout occurs, they can just start over with a new attack using fresh values hoping to require fewer requests. If the victim has deployed multiple responders sharing one key pair (e. g. for load balancing), this could also be leveraged to speed up an attack.

Responsible Disclosure

We reported our findings to Cisco, Huawei, Clavister, and ZyXEL. Cisco published fixes with IOS XE versions 16.3.6, 16.6.3, and 16.7.1. They further informed us that the PKE mode will be removed with the next major release.

Huawei published firmware version V300R001C10SPH702 for the Secospace USG2000 series that removes the Bleichenbacher oracle and the crash bugs we identified. Customers who use other affected Huawei devices will be contacted directly by their support team as part of a need-to-know strategy.

Clavister removed the vulnerable authentication method with cOS version 12.00.09. ZyXEL responded that our ZyWALL USG 100 test device is from a legacy model series that is end-of-support. Therefore, these devices will not receive a fix. For the successor models, the patched firmware version ZLD 4.32 (Release Notes) is available.

FAQs

  • Why don't you have a cool name for this attack?
    The attack itself already has a name, it's Bleichenbacher's attack. We just show how Bleichenbacher attacks can be applied to IKE and how they can break the protocol's security. So, if you like, call it IPsec-Bleichenbacher or IKE-Bleichenbacher.
  • Do you have a logo for the attack?
    No.
  • My machine was running a vulnerable firmware. Have I been attacked?
    We have no indication that the attack was ever used in the wild. However, if you are still concerned, check your logs. The attack is not silent. If your machine was used for a Bleichenbacher attack, there should be many log entries about decryption errors. If your machine was the one that got tricked (Responder A in our figures), then you could probably find log entries about unfinished handshake attempts.
  • Where can I learn more?
    First of all, you can read the paper [alternative link to the paper]. Second, you can watch the presentation, either live at the conference or later on this page.
  • What else does the paper contain?
    The paper contains a lot more details than this blogpost. It explains all authentication methods including IKEv2 and it gives message flow diagrams of the protocols. There, we describe a variant of the attack that uses the Bleichenbacher oracles to forge signatures to target IKEv2. Furthermore, we describe the quirks of Huawei's implementation including crash bugs that could allow for Denial-of-Service attacks. Last but not least, it describes a dictionary attack against the PSK mode of authentication that is covered in a separate blogpost.

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