mirror of https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git synced 2026-06-12 22:24:56 +03:00

Files

T

mukul975 27c6414ca5 Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills

Complete skill folder anatomy across all cybersecurity skills:
- scripts/agent.py: 80-150 line Python agents using real libraries (impacket,
  boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.)
- references/api-reference.md: real API documentation with method signatures
- LICENSE: MIT license for all skill folders

2026-03-10 21:02:12 +01:00

2.3 KiB

Raw Blame History

API Reference: Steganography Detection Agent

Overview

Detects hidden data in images and media using LSB analysis with Pillow/numpy, trailing data detection, and subprocess wrappers for binwalk, zsteg, and steghide.

Dependencies

Package	Version	Purpose
Pillow	>= 9.0	Image loading and pixel manipulation
numpy	>= 1.23	Array-based LSB bit extraction and statistics

External Tools (Optional)

Tool	Purpose
binwalk	Embedded file and data detection
zsteg	PNG/BMP LSB steganography detection
steghide	JPEG/BMP/WAV/AU data extraction with passwords

Core Functions

`check_trailing_data(filepath)`

Detects data appended after JPEG (FF D9) or PNG (IEND) end markers, and embedded ZIP/RAR archives.

Returns: dict with trailing_bytes, embedded_zip, embedded_rar

`lsb_analysis(filepath)`

Analyzes LSB bit distribution across RGB channels. Flags NEAR_RANDOM (possible stego) or SIGNIFICANT_DEVIATION.

Returns: dict[str, dict] - per-channel zeros, ones, ratio, anomaly

`extract_lsb_data(filepath, output_path)`

Extracts red channel LSB data and checks for known file signatures (ZIP, PNG, JPEG, PDF, GIF).

Returns: dict with output, header_hex, detected_format

`run_binwalk(filepath)`

Subprocess wrapper for binwalk embedded file detection.

Returns: dict with tool and output

`run_zsteg(filepath)`

Subprocess wrapper for zsteg PNG/BMP LSB analysis.

Returns: dict with tool and output

`run_steghide_extract(filepath, passwords=None)`

Attempts steghide extraction with a password list.

Default passwords: empty, password, secret, hidden, stego, test, 123456
Returns: list[dict] - successful extractions with password and output path

`analyze_file(filepath, output_dir=None)`

Full analysis pipeline combining all detection methods.

Returns: dict - complete report with findings list

Finding Types

Type	Description
`trailing_data`	Data after image end marker
`embedded_archive`	ZIP/RAR found within file
`lsb_hidden_file`	Known file format in LSB data
`steghide_extraction`	Successfully extracted hidden data

Usage

python agent.py suspect_image.png

2.3 KiB Raw Blame History

API Reference: Steganography Detection Agent

Overview

Dependencies

External Tools (Optional)

Core Functions

check_trailing_data(filepath)

lsb_analysis(filepath)

extract_lsb_data(filepath, output_path)

run_binwalk(filepath)

run_zsteg(filepath)

run_steghide_extract(filepath, passwords=None)

analyze_file(filepath, output_dir=None)