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https://github.com/lprat/static_file_analysis

Analysis of file (doc, pdf, exe, ...) in deep (emmbedded file(s)) with clamscan and yara rules
https://github.com/lprat/static_file_analysis

analysis clamav defensive-security docker malware-analysis security security-tools sigma static-analysis yara yara-rules

Last synced: 3 months ago
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Analysis of file (doc, pdf, exe, ...) in deep (emmbedded file(s)) with clamscan and yara rules

Host: GitHub
URL: https://github.com/lprat/static_file_analysis
Owner: lprat
License: apache-2.0
Created: 2017-08-10T15:44:12.000Z (almost 7 years ago)
Default Branch: master
Last Pushed: 2023-09-06T10:01:06.000Z (10 months ago)
Last Synced: 2024-01-23T04:07:52.207Z (5 months ago)
Topics: analysis, clamav, defensive-security, docker, malware-analysis, security, security-tools, sigma, static-analysis, yara, yara-rules
Language: YARA
Size: 9.26 MB
Stars: 45
Watchers: 7
Forks: 11
Open Issues: 1
Metadata Files:
- Readme: README.md
- Changelog: ChangeLog
- License: LICENSE

Lists

awesome-yara - static_file_analysis
awesome-yara-Resource - static_file_analysis

README

# Static analysis malicious files
*Analysis malicious files in deep with clamscan and yara rules.*

This tool written in python langage makes the link between clam and yara. It can help you to score suspect file, can build visual tree graph for fast display embeded files (parent type, type, suspect or dangerous content), and can compute indicator of compromission. It uses clamav in order to extract embeded files and make json tree, then it sends all embbeded files to yara with context (in externs variables) in order to check rules. If a rules matched, it gives score of this rule. The max rule score is added to top of tree, you can add globale score that use all score found for make coefficient score. Extra feature, the tool can extract specific pattern (URL, HOST, IP, ...).

## Features
- Easy to use: [docker pull lprat/sfa](https://hub.docker.com/r/lprat/sfa)
- Web ihm integrated in API
- Clamscan extracts embedded files and makes json report
- Clamscan check password on zip encrypted (ref: https://blog.didierstevens.com/2017/02/15/quickpost-clamav-and-zip-file-decryption/)
- Extract file from URL with THUG (https://thug-honeyclient.readthedocs.io/en/latest/intro.html) and analysis files extracted
- Analyse json report and make json trees to consolidate informations
- Extract patterns (pattern.db) with the ability to use the yara rules
- Scan embedded files and root file with yara rules (+context informations in externs variables: type, parent type, pattern extract, ...)
- 2 level of yara rules (order), for gain fast and avoid multi rules (same) for each extension
- First level: format-specific rule
- check file type (reg, chm, exe, dll, ...) and potential risk according by extension (script, autopen, ...).Then push (by external variable) check only element linked with extension for level 2
- check file origin: embed file
- Second level: global rules same for multi format
- check if unknown file type (extension): entropy, ...
- check suspect content file: obfuscate, cypher, packed, ...
- check dangerous elements (Mitre Attack): registry, command, ...
- check IOC familly malware (MISP import)
- Compute risk score
- Put max score on top of tree
- Add global score with coefficient mechanism (coef.conf) to max score
- Extract IOC on yara rules match
- Extract text from image by OCR
- Decompile JAR & CLASS java with procyon
- Check VirusTotal & INTEZER & Hybrid Analysis & APPANY.RUN & OTX & XFORCE & MISP
- Create PNG graph for fast analysis
- Output result tree json in a file

## Interresting tools

My docker contener contains Static analysis tools and others tools for deep analysis when match to yara rules:
- Special tools
- Flash: ffdec
- Office document & rtf: oletools (https://github.com/decalage2/oletools)
- pdf: peepdf (https://github.com/jesparza/peepdf)
- sdb: python-sdb (https://github.com/williballenthin/python-sdb)

- Decompiler
- Java: procyon
- Exe python py2exe: unpy2exe (https://github.com/matiasb/unpy2exe)
- Exe python PyInstaller: PyInstaller Extractor (https://sourceforge.net/projects/pyinstallerextractor/) or binwalk!
- Python bytecode (pyc): uncompyle6
- Autoit: clamav auto extract script
- VisualBasic & dotnet: vb decompiler (https://www.vb-decompiler.org/) use with wine

- Emulator/sandbox
- Vbscript: vmonkey (https://github.com/decalage2/ViperMonkey)
- javascript:
- box-js (https://github.com/CapacitorSet/box-js)
- JsJaws (https://github.com/CybercentreCanada/assemblyline-service-jsjaws)
- capacity PE/ELF/shellcode: https://github.com/mandiant/capa
- elf:
- mbox (https://github.com/tsgates/mbox)
- zelos (https://github.com/zeropointdynamics/zelos)
- PE/Shellcode:
- Cmulator (https://github.com/Coldzer0/Cmulator)
- wine (http://www.hexacorn.com/blog/2016/12/14/malware-analysis-using-wine/ => WINEDEBUG=+all wine malware.exe)
- Speakeasy: (https://github.com/mandiant/speakeasy)
- Php:
- https://sandbox.onlinephpfunctions.com/
- https://github.com/bediger4000/reverse-php-malware

- Debugger/DBI
- bash: "bash -x script.sh"
- python: "python -m pdb script.py"
- strace: syscall trace
- ltrace: lib trace
- frida: frida (https://www.frida.re/)

- Others
- web analyse: thug (https://github.com/buffer/thug)
- shellcode extract: scanr (https://github.com/1Project/Scanr)
- IDX parser: Java_IDX_Parser (https://github.com/Rurik/Java_IDX_Parser)
- Beautifie js: js-beautify (https://github.com/beautify-web/js-beautify)
- String Solver: floss (https://github.com/fireeye/flare-floss)
- firemware analysis: binwalk (https://github.com/ReFirmLabs/binwalk)
- Samples redteam: atomic-red-team (https://github.com/redcanaryco/atomic-red-team)
- reverse engineering framework: ghidra (https://github.com/NationalSecurityAgency/ghidra)

You can use other tools not include in my docker contener:
- reverse engineering framework:
- radare2 (https://hub.docker.com/r/radare/radare2/dockerfile https://github.com/radare/radare2)
- IHM Radare2 cutter (https://cutter.re/)
- decompiler dotnet: ilspy (https://github.com/bannsec/ilspy_docker)
- decompiler based on LLVM: retdec (https://github.com/avast-tl/retdec) - retdec-fileinfo identify "Original language"
- sandbox powershell: PSDecode (https://github.com/R3MRUM/PSDecode) - you can use in powershell docker (https://hub.docker.com/_/microsoft-powershell)
- powershell capacities: https://github.com/pan-unit42/public_tools/tree/master/powershellprofiler
- java capacities: https://github.com/CybercentreCanada/assemblyline-service-espresso
- sandbox ruby: safe_ruby (https://github.com/ukutaht/safe_ruby)
- sandbox python: pysandbox (https://github.com/vstinner/pysandbox)
- sandbox generic: cuckoo (https://github.com/cuckoosandbox/cuckoo)
- API call trace: drltrace (https://github.com/mxmssh/drltrace)
- DBI: pin (https://software.intel.com/en-us/articles/pin-a-dynamic-binary-instrumentation-tool)
- Reverse Android: androidre (https://github.com/cryptax/androidre)
- Reverse: radare2 (https://rada.re/r/)

## Usage
~~~
Static analysis by clamav and yara rules -- Contact: [email protected]
Usage: analysis.py [-c /usr/local/bin/clamscan] [-d /tmp/extract_emmbedded] [-p pattern.db] [-s /tmp/graph.png] [-j /tmp/result.json] [-m coef_path] [-g] [-v] [-b password.pwdb] [-i /usr/bin/tesseract] [-l fra] [-V API_KEY_VT] [-J] [-O] -f/-u path_filename/URL -y yara_rules_path1/ -a yara_rules_path2/

-h/--help : for help to use

-f/--filename= : path of filename to analysis

-u/--url= : url analysis use thug

-y/--yara_rules_path= : path of rules yara level 1

-a/--yara_rules_path2= : path of rules yara level 2

-p/--pattern= : path of pattern filename for data miner

-b/--password= : path of password clamav (.pwdb see: https://blog.didierstevens.com/2017/02/15/quickpost-clamav-and-zip-file-decryption/)

-c/--clamscan_path= : path of binary clamscan [>=0.99.3]

-m/--coef_path= : path of coef config file

-d/--directory_tmp= : path of directory to extract emmbedded file(s)

-j/--json_save= : path filename where save json result (JSON)

-i/--image= : path of 'tesseract' for analysis on potential social engenering by image

-J/--java_decomp : Java decompile class/jar with procyon (apt-get install procyon-decompiler)

-l/--lang_image= : 'tesseract' lang ocr extratc (eng, fra, ...)

-g/--graph : generate graphe of analyz

-s/--save_graph= : path filename where save graph (PNG)

-O/--osint : active OSINT (hash, filename, domaine, url)
OSINT hybridanalisys env key: HYBRID_KEY
OTX env key: OTX_KEY
XFORCE env key: XFORCE_KEY & env pass: XFORCE_PASS
VirusTotal env key: VT_KEY
MISP env key: MISP_KEY & MISP env host: MISP_HOST
INTEZER env key: INTEZER_KEY

-r/--remove= : remove tempory files

-V/--virustotal= : API Key

-v/--verbose= : verbose mode

example: analysis.py -c ./clamav-devel/clamscan/clamscan -f /home/analyz/strange/invoice.rtf -y /home/analyz/yara_rules1/ -a /home/analyz/yara_rules2/ -b /home/analyz/password.pwdb -i /usr/bin/tesseract -l fra -g -O

example: analysis.py -c ./clamav-devel/clamscan/clamscan -u www.exploitkit.top/id?000 -y /home/analyz/yara_rules1/ -a /home/analyz/yara_rules2/ -b /home/analyz/password.pwdb -i /usr/bin/tesseract -l fra -g -O

lionel@local:~/static_analysis$ python3 analysis.py -c clamav-devel/clamscan/clamscan -y yara_rules1/ -a yara_rules2/ -j /tmp/log.json -p pattern.db -g -f tests/pdf/jaff.pdf
Static analysis by clamav and yara rules -- Contact: [email protected]
Create directory temp for emmbedded file: /tmp/tmpUee2rj

Extract emmbedded file(s) with clamav...
Analyz result...
Find resultat in json file:/tmp/tmpUee2rj/clamav-028bf4c91d9aac94faca83886b9286c2.tmp...
Phase one finish!

~~~

## PNG report example for jaff
![alt text](https://github.com/lprat/static_analysis/raw/master/images/analysis_result.png "Tree analysis created")

## JSON report example for jaff
```json
{
"ContainedObjects": [
{
"ContainedObjects": [
{
"ExtractInfo": [
{
"URI": "('http://schemas.openxmlformats.org/package/2006/content-types\">CL_TYPE_PDF->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 1636,
"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-db2fb8735edd56037594f963ea05195f.tmp/zip.000"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"URI": "('http://schemas.openxmlformats.org/package/2006/relationships\">CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 590,
"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-db2fb8735edd56037594f963ea05195f.tmp/zip.001"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"URI": "('http://schemas.openxmlformats.org/package/2006/relationships\">CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 1213,
"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-db2fb8735edd56037594f963ea05195f.tmp/zip.002"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"URI": "('http://schemas.microsoft.com/office/word/2010/wordprocessingCanvas\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/drawing/2014/chartex\"', '\"')"
},
{
"URI": "('http://schemas.openxmlformats.org/markup-compatibility/2006\"', '\"')"
},
{
"URI": "('http://schemas.openxmlformats.org/officeDocument/2006/relationships\"', '\"')"
},
{
"URI": "('http://schemas.openxmlformats.org/officeDocument/2006/math\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/word/2010/wordprocessingDrawing\"', '\"')"
},
{
"URI": "('http://schemas.openxmlformats.org/drawingml/2006/wordprocessingDrawing\"', '\"')"
},
{
"URI": "('http://schemas.openxmlformats.org/wordprocessingml/2006/main\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/word/2010/wordml\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/word/2012/wordml\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/word/2015/wordml/symex\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/word/2010/wordprocessingGroup\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/word/2010/wordprocessingInk\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/word/2006/wordml\"', '\"')"
},
{
"URI": "('http://schemas.microsoft.com/office/word/2010/wordprocessingShape\"', '\"')"
},
{
"URI": "('http://schemas.openxmlformats.org/drawingml/2006/main\"', '\"')"
},
{
"URI": "('http://schemas.openxmlformats.org/drawingml/2006/main\">CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 4362,
"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-db2fb8735edd56037594f963ea05195f.tmp/zip.003"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"URI": "('http://schemas.openxmlformats.org/package/2006/relationships\">CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 277,
"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-db2fb8735edd56037594f963ea05195f.tmp/zip.004"
],
"RiskScore": 0,
"Yara": []
},
{
"ContainedObjects": [
{
"ExtractInfo": [],
"FileMD5": "1b51a805a2682c24956f156ff25370ff",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 292,
"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000010/cbff003cd69100e2ee9bd33df50c21ed_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000010/cbff003cd69100e2ee9bd33df50c21ed_0"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"URI": "('http://\\x00\\xec', '\\xec')"
}
],
"FileMD5": "0df7f5507fcccc3bc22787fe7872e97a",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 584,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000010/d95679752134a2d9eb61dbd7b91c4bcc_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000010/d95679752134a2d9eb61dbd7b91c4bcc_0"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [],
"FileMD5": "8b485527ad9d96fe72d3fba385f0ad95",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 97,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000010/88144fbcb62650fa72c360688f4772c7_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000010/88144fbcb62650fa72c360688f4772c7_0"
],
"RiskScore": 5,
"Yara": [
{
"OLE_EMBEDDED_OFFICE": {
"description": "MS Forms Embedded object",
"score": 5
}
}
]
},
{
"ExtractInfo": [],
"FileMD5": "711e41c84dfaa4cbd891ef22cc4e4670",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 599,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000010/8fa14cdd754f91cc6554c9e71929cce7_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000010/8fa14cdd754f91cc6554c9e71929cce7_0"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"EMAIL": "('Templat@eDeriv', '')"
}
],
"FileMD5": "8a01d7813c6dc6dddf8398f15e45756f",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 1897,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000001/5f51988f4ee5c4069990859c24855c57_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000001/5f51988f4ee5c4069990859c24855c57_0"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [],
"FileMD5": "fcc31d50fc38f37137eb5b2cf2992049",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 1504,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000001/bad8252681321a1d94d0718a0815fac9_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000001/bad8252681321a1d94d0718a0815fac9_0"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"EMAIL": "('OptionButton1k@0', '')"
},
{
"EMAIL": "('OptionButton2l@0', '')"
}
],
"FileMD5": "0eed2de1ef79e6ce4a26385fd5179d5e",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 6394,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000001/ae4f6474bee50ccdf1a6b853ba8ad32a_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000001/ae4f6474bee50ccdf1a6b853ba8ad32a_0"
],
"RiskScore": 4,
"Yara": [
{
"Autorun_VBA_OFFICE": {
"description": "Macro autorun",
"score": 4
}
}
]
},
{
"ExtractInfo": [
{
"EMAIL": "('Hr2d2_@c3po', '')"
},
{
"EMAIL": "('cF@reshID', '')"
},
{
"EMAIL": "('ob@jWMISe', '')"
}
],
"FileMD5": "828a327f1ddc838d4a8c19619cebfee8",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 3030,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000001/007ccaa83aa7674f1166352c3605b85c_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000001/007ccaa83aa7674f1166352c3605b85c_0"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"EMAIL": "('tp@d', '')"
}
],
"FileMD5": "c81239f4227f76858b5e2a5bd59afa0e",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 9634,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000001/a63bcda17f702e84c1b7056f6d8c5f3a_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000001/a63bcda17f702e84c1b7056f6d8c5f3a_0"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [
{
"EMAIL": "('SF@Cs', '')"
},
{
"EMAIL": "('VBE@a', '')"
}
],
"FileMD5": "54c9cc25c5082fee750c4e05196a595b",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 945,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000001/736007832d2167baaae763fd3a3f3cf1_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000001/736007832d2167baaae763fd3a3f3cf1_0"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [],
"FileMD5": "d34c4883d74d420deb12df91f806b869",
"FileParentType": "->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_MSOLE2||||->CL_TYPE_PDF->CL_TYPE_OOXML_WORD->CL_TYPE_TEXT_ASCII",
"FileSize": 1158,
"FileType": "CL_TYPE_BINARY_DATA",
"PathFile": [
"/tmp/tmpUee2rj/clamav-1850c820caed3a2ef0bd9f90767cee2d.tmp/000001/69bb302a1ba85bde463b0b6faaea307a_0",
"/tmp/tmpUee2rj/clamav-47fe5aa763775ab138ffb62ea46690b5.tmp/000001/69bb302a1ba85bde463b0b6faaea307a_0"
],
"RiskScore": 0,
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"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-045d58bc73c112b37f188cb704ca54f6.tmp/pdf01_01i"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [],
"FileMD5": "19874245d5e732f1073758e3a9431e5d",
"FileParentType": "->CL_TYPE_PDF",
"FileSize": 67,
"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-045d58bc73c112b37f188cb704ca54f6.tmp/pdf03_01i"
],
"RiskScore": 0,
"Yara": []
},
{
"ExtractInfo": [],
"FileMD5": "caf34a525d2c871e6df8233afb84beea",
"FileParentType": "->CL_TYPE_PDF",
"FileSize": 16,
"FileType": "CL_TYPE_TEXT_ASCII",
"PathFile": [
"/tmp/tmpUee2rj/clamav-045d58bc73c112b37f188cb704ca54f6.tmp/pdf04"
],
"RiskScore": 0,
"Yara": []
},
{
"ContainedObjects": [],
"ExtractInfo": [],
"FileMD5": "d41d8cd98f00b204e9800998ecf8427e",
"FileParentType": "->CL_TYPE_PDF",
"FileSize": 0,
"FileType": "CL_TYPE_UNKNOWN",
"PathFile": [
"/tmp/tmpUee2rj/clamav-045d58bc73c112b37f188cb704ca54f6.tmp/pdf02"
],
"RiskScore": 0,
"Yara": []
}
],
"ExtractInfo": [
{
"EMAIL": "('Z7@0j', '')"
}
],
"FileMD5": "eb680f46c268e6eac359b574538de569",
"FileSize": 53257,
"FileType": "CL_TYPE_PDF",
"GlobalRiskScore": 6,
"GlobalRiskScoreCoef": 1,
"Magic": "CLAMJSONv0",
"PDFStats": {
"CreationDate": "D:20170515122212+03'00'",
"Creator": "8026155",
"DeflateObjectCount": 4,
"EmbeddedFileCount": 1,
"ImageCount": 1,
"JavaScriptObjectCount": 3,
"JavascriptObjects": [
7,
13,
14
],
"ModificationDate": "D:20170515122212+03'00'",
"ObjectsWithoutDictionaries": [
3
],
"OpenActionCount": 1,
"PDFVersion": "1.4",
"PageCount": 1,
"Producer": "\u5469\u7865\u5374\u6168\u7072\u2092\u2e35\u2e35\u3031\ua920\u3032\u3030\u322d\u3130\u2036\u5469\u7865\u2074\u7247"
},
"RiskScore": 0,
"RootFileType": "CL_TYPE_PDF",
"TempDirExtract": "/tmp/tmpUee2rj",
"Yara": []
}
```

## Requirements

- clamav
- python3: see requirements.txt [use docker]
- For Image OCR: tesseract-ocr-all (deb)
- For decompil java: procyon-decompiler (deb)

## Install

~~~
Recompile clamav with json options and HARDENING compilation
./remake_clamav.sh
~~~

### Docker install

~~~
git clone https://github.com/lprat/static_file_analysis
cd static_file_analysis/docker
mkdir /tmp/samples && cp file_to_analyz.pdf /tmp/samples
docker-compose run sfa
$python3 analysis.py -c ./clamav-devel/clamscan/clamscan -f samples/file_to_analyz.pdf -y yara_rules1/ -a yara_rules2/ -b password.pwdb -i /usr/bin/tesseract -l fra -g -O -v &> /tmp/log
~~~

### Docker install API REST

~~~
git clone https://github.com/lprat/static_file_analysis
cd static_file_analysis/docker
#edit file docker-compose_api.yaml and change ENV APIKEY & UPDATE PROXY (if need)
docker-compose -f docker-compose_api.yml run sfa
~~~

## Configure

- coef.conf : file configuration for evaluating coefficient score
- pattern.db : file configuration with extracting pattern
- yara_rules1/ : directory which contains yara rules level 1
- yara_rules2/ : directory which contains yara rules level 2
- password.pwdb : file contains password database to try open zip with password

## Make your own yara rules

To create yara rules with this tool, you must use meta field:
- description: description of the rule
- weight: the score of the rule
- var_match: optionnal, you can add extern var if rule match for subsequent check (variable global - on all files)
- check_level2: optionnal, you can add extern var used to choice level 2 check (value: "check_command_bool,check_registry_bool") (variable local - only on current files)
- ids: extract ioc from YARA rules match "strings" (https://yara.readthedocs.io/en/v3.8.1/yarapython.html#yara.Match) and output in json result on 'ioc' and 'globalIOC'. You choice category IOC, example: ids = "win_api" then create ioc{'win_api': ['first string found by yara match', 'second string found by yara match', ...]}

You can use extern variables build with clamav context and send them to yara with python script (analysis.py):
- PathFile: filename and path
- FileParentType: parent type of file, it's written as clamav output
- FileType: Type of current file, it's written as clamav output
- FileSize: Size of current fuke
- FileMD5: MD5 of current file
- CDBNAME: Original name of current file (exemple in MACRO file, or CHM file...)
- zip_crypt_bool: Zip file with password (crypted)
- EMBED_FILES: if zip file with password, variable contains filenames in zip file
- image2text: if image file you can extract text with ocr (tesseract => !! attention Leptonica have CVE-2018..., on debian, tesseract compiled with hardening option security)
- serr: Debug flux of clamav
- vt_detected/vt_positives_int/vt_total_int/vt_scan_date: Virus total result
- now_7_int: timstamp of now-7j
- All variables make in json report of clamav
- All informations extracted by pattern match

Check in path yara_rules for view samples!

## Use tool in CRITS

I added this tool in CRITS services. I created pull request in CRITS service but it's not validated yet , but you can use my github repository so far.

[Collaborative Research Into Threats - CRITS](https://crits.github.io/)

[Github CRITS services](https://github.com/crits/crits_services)

[My Github account of modified CRITS services](https://github.com/lprat/crits_services/tree/extract_embedded_service)

## Use IHM WEB

Run docker compose or docker run for launch api
(docker lprat\sfa on cloud)
~~~
docker-compose -f ./docker-compose_api.yml up -d
or
docker run -ti -e "API_KEY=myapikey" -p 8000:8000 docker_sfa
~~~

With your favorite browser go to https://$IP:8000/

## Use API REST

Run docker compose or docker run for launch api
(docker lprat\sfa on cloud)
~~~
docker-compose -f ./docker-compose_api.yml up -d
or
docker run -ti -e "API_KEY=myapikey" -p 8000:8000 docker_sfa
~~~

Request on port 8000:

~~~
Check File:
curl -k -F 'file=@/home/lionel/malwares/calc.xll' -H "x-api-key: mykeyapi" https://127.0.0.1:8000/api/sfa_check_file
Check URL:
curl -k --header "Content-Type: application/json" --request POST --data '{"url":"http://www.google.fr"}' -H "x-api-key: mykeyapi" https://127.0.0.1:8000/api/sfa_check_url

Return JSON:
{"graph.png":"/download/700c4644ec40bfdada4502ffd5cb1411","result.json":"/download/9b9c453dc45b665c596b0f58c1c272b1","risk_score":4,"trace-serr.debug":"/download/d41d8cd98f00b204e9800998ecf8427e","trace-sout.debug":"/download/ef59eb8e65035a1064c1c32565bc0e74","ef59eb8e65035a1064c1c32565bc0000":"/download/ef59eb8e65035a1064c1c32565bc000"}
"ef59eb8e65035a1064c1c32565bc0000": for download embed file md5

Download file embed/json result/graph/...
curl -k -X 'POST' -H "x-api-key: mykeyapi" https://127.0.0.1:8000/download/ef59eb8e65035a1064c1c32565bc0000
~~~

## Use reverse proxy for API or IHM web

Config exemple for nginx:
~~~
server {
listen $IP:443 ssl;
server_name sfa.$yourdomain;
location / {
# Use certificate auth
# if ($ssl_client_verify != SUCCESS) {
# return 403;
# }
# if ($ssl_client_s_dn_cn = "NAME-On-Cert") {
# return 403;
# }
# Use login/password auth
# auth_basic "Authentification";
# auth_basic_user_file /etc/nginx/.passwdweb;
proxy_pass_request_headers on;
proxy_set_header Host $host;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Forwarded-Server $host;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Real-IP $remote_addr;
# Docker IP
proxy_pass https://172.17.0.1:8000;
}
}
~~~

## Extra
In Sigma_rules, you can find rule format SIGMA for detect files to analyse.

## Greetz
- clamav community
- yara community
- Stéphane L.

## Contact

[email protected]