[Killtrojan Syslog] Tool to detect malware activity on a system

Killtrojan Syslog is a free application to create a report about characteristics of the system to further analyze and look for signs of malware, also is intended to put the report in a specialized forum for users to help.

The tool has a very intuitive and easy to use for non-technical users to create their reports. Also useful for more advanced users who want to analyze a computer.

With the support logs with BBCode mode, you can paste the log generated in any forum (SMF, PHPBB, Invision ...) which will be detailed with clear colors for your reading.

Download Killtrojan Syslog

[Malheur v0.5.4] Malware Analyzer

Malheur is a tool for the automatic analysis of malware behavior (program behavior recorded from malicious software in a sandbox environment). It has been designed to support the regular analysis of malicious software and the development of detection and defense measures. Malheur allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes.

Analysis of malware behavior?

Malheur builds on the concept of dynamic analysis: Malware binaries are collected in the wild and executed in a sandbox, where their behavior is monitored during run-time. The execution of each malware binary results in a report of recorded behavior. Malheur analyzes these reports for discovery and discrimination of malware classes using machine learning.

Malheur can be applied to recorded behavior of various format, as long as monitored events are separated by delimiter symbols, for example as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox and Joebox

.

Download Malheur

[Comodo Instant Malware Analysis] Online Automated Analysis System

If you have a suspicious file, please submit it online by using the form below. Once the file is submitted, COMODO Automated Analysis System will scan it and report back its findings.

Comodo Instant Malware Analysis

[Anubis] Online Analyzing Unknown Binaries

Anubis is a service for analyzing malware.

Submit your Windows executable or Android APK and receive an analysis report telling you what it does. Alternatively, submit a suspicious URL and receive a report that shows you all the activities of the Internet Explorer process when visiting this URL. 

Anubis

[Malware Classifier] Malware Analysis Tool

Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable.

Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.”

The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. 

The tool extracts seven key features from an unknown binary, feeds them to one of the four classifiers or all of them, and presents its classification of the unknown binary.

Download Malware Classifier

[VirusTotal] Online Malware Analysis Tool

VirusTotal, a subsidiary of Google, is a free online service that analyzes files and URLs enabling the identification of viruses, worms, trojans and other kinds of malicious content detected by antivirus engines and website scanners. At the same time, it may be used as a means to detect false positives, i.e. innocuous resources detected as malicious by one or more scanners.

VirusTotal’s mission is to help in improving the antivirus and security industry and make the internet a safer place through the development of free tools and services.

VirusTotal

[Malcom] Malware Communication Analyzer

Malcom is a tool designed to analyze a system's network communication using graphical representations of network traffic. This comes handy when analyzing how certain malware species try to communicate with the outside world.

Malcom can help you:

• detect central command and control (C&C) servers
• understand peer-to-peer networks
• observe DNS fast-flux infrastructures
• quickly determine if a network artifact is 'known-bad'

The aim of Malcom is to make malware analysis and intel gathering faster by providing a human-readable version of network traffic originating from a given host or network. Convert network traffic information to actionable intelligence faster.

Check the wiki for a Quickstart and some nice screenshots.

In the near future, it will also become a collaborative tool (coming soon!)

Download Malcom

[Pyew v2.2] A Python tool for static malware analysis

Pyew is a (command line) python tool to analyse malware. It does have support for hexadecimal viewing, disassembly (Intel 16, 32 and 64 bits), PE and ELF file formats (it performs code analysis and let you write scripts using an API to perform many types of analysis), follows direct call/jmp instructions in the interactive command line, displays function names and string data references; supports OLE2 format, PDF format and more. It also supports plugins to add more features to the tool.

Pyew have been successfully used in big malware analysis systems since almost 2 years, processing thousand of files daily.

See some usage examples, example batch scripts or a tool to compare and group programs (PE and ELF) using the API provided by Pyew.

NOTE: It's highly recommended to always use the Mercurial version instead of the versions available in the Downloads section.

ChangeLog:

Version 2.2 Stable (12-30-2012)

• Loads of bug fixes.
• Many little enhancements to the x86 code analysis engine, notoriously increasing the overall speed and finding more functions and basic blocks missed in previous versions.
• Updated PEFile version to 1.2.10.
• Support for 2 more disassembly engines: diStorm v3 and pymsasid (pure python disassembler).
• Automatic calculation of the application call graph and function's flow graphs.
• Support for analysing x86 boot sector files.

Version 2.1 Beta (11-27-2011)

• Added Kenshoto's VTrace.
• Initial support for integrated debugging.
• Good support for ELF file format (both 32 and 64 bits).
• Code analysis engine enhanced.
• Fixed a lot of bugs.

Version 2.0

• Code analysis system for x86 rewritten from scratch.
• Support for databases. You can analyze binaries (PE or ELF) and save/open databases.
• Added graph's based clusterization tool 'gcluster.py'.
• Added new PDF utilities:
• pdfss: Seek to one stream
• pdfobj: Show object's list
• pdfso: Seek to one object
• Added new plugins:
• binvi: Show an image representing the contents of the file. Usefull to see different sections in a binary.
• packer: Check if the PE file is packed
• cgraph: Show the callgraph of the whole program (needs PyGTK to show a GUI).
• Many bug fixes.

Version 1.1.1

• Support for ELF file formats (AMD64 and IA32) using the Kenshoto's ELF library (VTrace).
• Code analysis by recursively traversing all possible code paths from entry points.
• Added the following APIS:
• resolveName: Resolves the internal name of the given address/offset.
• NextHead: Return the next disassembly offset given an address/offset.
• GetMnem/GetMnems: Returns the mnemonic or mnemonic list given an offset and the number of mnemonics to retrieve.

Pyew is very similar in some aspects to the following tools:

• The Interactive Disassembler (IDA). Although Pyew does not compete with IDA (and the author of the tool doesn't want it at all), it can be considered as a "mini IDA" focused on batch malware analysis.
• The almighty radare.
• The open source Biew and the commercial Hiew. 

Download Pyew v2.2

[MISP v2.1] Malware Information Sharing Platform

The problem that we experienced in the past was the difficulty to exchange information about (targeted) malwares and attacks within a group of trusted partners, or a bilateral agreement. Even today much of the information exchange happens in unstructured reports where you have to copy-paste the information in your own text-files that you then have to parse to export to (N)IDS and systems like log-searches, etc…

A huge challenge in the Cyber Security domain is the information sharing inside and between organizations. This platform has as goal to facilitate:

• central IOC database: storing technical and non-technical information about malwares and attacks, … Data from external instances is also imported into your local instance
• correlation: automatically creating relations between malwares, events and attributes
• storing data in a structured format (allowing automated use of the database for various purposes)
• export: generating IDS, OpenIOC, plain text, xml output to integrate with other systems (network IDS, host IDS, custom tools, …)
• import: batch-import, import from OpenIOC, GFI sandbox, ThreatConnect CSV, …
• data-sharing: automatically exchange and synchronization with other parties and trust-groups

Exchanging info results in faster detection of targeted attacks and improves the detection ratio while reducing the false positives. We also avoid reversing similar malware as we know very fast that others already worked on this malware.

Download MISP v2.1

[Hook Analyser 2.5] Application (and Malware) Analysis tool

Application (and Malware) Analysis tool. Hook Analyser is a hook tool which could be potentially helpful in reversing application and analysing malwares.

Changelog v2.5

This has now five (5) key functionalities:

1. Spawn and Hook to Application – This feature allows analyst to spawn an application, and hook into it. The module flow is as following -
1. PE validation (with XOR bruteforce)
2. Static malware analysis.
3. Other options (such as pattern search or dump all)
4. Type of hooking (Automatic, Smart or manual)
5. Spawn and hook

Currently, there are three types of hooking being supported –

• Automatic – The tool will parse the application import tables, and based upon that will hook into specified APIs
• Manual – On this, the tool will ask end-user for each API, if it needs to be hooked.
• Smart – This is essentially a subset of automatic hooking however, excludes uninteresting APIs.

2. Hook to a specific running process-The option allows analyst to hook to a running (active) process. The program flow is –

1. List all running process
2. Identify the running process executable path.
3. Perform static malware analysis on executable (fetched from process executable path)
4. Other options (such as pattern search or dump all)
5. Type of hooking (Automatic, Smart or manual)
6. Hook to a specific running process
7. Hook and continue the process

3. Static Malware Analysis – This module is one of the most interesting and useful module of Hook Analyser, which performs scanning on PE or Widows executables to identify potential malware traces. The sub-components have been mentioned below (and this is not the full list) -

1. PE file validation (with XOR bruteforce)
2. CRC and timestamps validation
3. PE properties such as Image Base, Entry point, sections, subsystem
4. TLS entry detection.
5. Entry point verification (if falls in suspicious section)
6. Suspicious entry point detection
7. Packer detection
8. Signature trace (extended from malware analyser project), such as Anti VM aware, debug aware, keyboard hook aware etc. This particular function searches for more than 20 unique malware behaviours (using 100’s of signature).
9. Import intel scanning.
10. Deep search (module)
    Online search of MD5 (of executable) on Threat Expert.
11. String dump (ASCII)
12. Executable file information
13. Hexdump
14. PEfile info dumping
15. …and more.

4. Application crash analysis – This module enables exploit researcher and/or application developer to analyse memory content when an application crashes.This module essentially displays data in different memory register (such as EIP).

• Application crash analysis video demonstration – http://www.youtube.com/watch?v=msYo7pPsu6A

5. Exe extractor – This module essentially extracts executables from running process/s, which could then be further analysed using Hook Analyser , Malware Analyser or other solutions. This module is potentially useful for incident responders

More Information:

• http://hookanalyser.blogspot.com

Download Hook Analyser v2.5

[REMnux] A Linux Distribution for Malware Analysis

REMnux incorporates a number of tools for analyzing malicious executables that run on Microsoft Windows, as well as browser-based malware, such as Flash programs and obfuscated JavaScript. This popular toolkit includes programs for analyzing malicious documents, such PDF files, and utilities for reverse-engineering malware through memory forensics.

REMnux can also be used for emulating network services within an isolated lab environment when performing behavioral malware analysis. As part of this process, the analyst typically infects another laboratory system with the malware sample and redirects the connections to the REMnux system listening on the appropriate ports.

You can learn the malware analysis techniques that make use of the tools installed and pre-configured on REMnux by taking the Reverse-Engineering Malware course that my colleagues and I teach at SANS Institute.

REMnux focuses on the most practical freely-available malware analysis tools that run on Linux. If you are looking for a more full-featured distribution that incorporates a broader range of digital forensic analysis utilities, take a look at SANS Investigative Forensic Toolkit (SIFT) Workstation.

Originally released in 2010, REMnux has been updated to version 4 in April 2013.

What’s New in REMnux v4

REMnux is now available as a Open Virtualization Format (OVF/OVA) file for improved compatibility with virtualization software, including VMware and VirtualBox. (Here’s how to easily install the REMnux virtual appliance.) A proprietary VMware file is also available. You can also get REMnux as an ISO image of a Live CD.

Key updates to existing tools and components:

• Core system: Upgraded the underlying Ubuntu OS components and packages; increased default RAM of the virtual appliance to 512MB; replaced OpenJDK with Oracle Java 7 runtime.
• Memory analysis: Updated Volatility to version 2.2.
• PDF analysis: Updated pdfid and pdf-parser, Origami, peepdf
• Web analysis: Updated SWFTools, V8, libemu, NetworkMiner, Burp Proxy, Wireshark, Firefox and its add-ons.
• Other changes: Updated xorsearch, DensityScout, Pyew, passive-dns, ClamAV, capabilities.yara; replaced FreeMind with XMind

New tools added to REMnux:

• Windows tools: Installed Wine; added OfficeMalScanner, Malzilla
• XOR analysis: Added NoMoreXOR, brutexor, XORBruteForcer
• PE file analysis: Added pev, dism-this, ExeScan, udis86 (udcli), autorule (/usr/local/autorule), distool
• Other file analysis: Added extract_swf.py, ExifTool, MASTIFF
• Other additions: Added hack-functions (/usr/local/hack-functions), bulk_extractor, ProcDot

Getting Started With REMnux

The one-page REMnux Usage Tips cheat sheet outlines some of the more popular tools installed on REMnux. Feel free to customize it to incorporate your own tips and tricks.

The recorded Malware Analysis Essentials Using REMnux webcast provides a good overview and examples of some of the tools for performing static malware analysis.

If you find REMnux useful, take a look at the reverse-engineering malware course. It makes use of REMnux and various other tools.

Download REMnux