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elegant-bouncer — ELEGANTBOUNCER is a detection tool for file-based mobile exploits. | Kitploit
Tools/GitHubGitHub/msuiche/elegant-bouncer
iOS SecurityVulnerability AnalysisMobile ForensicsMalware AnalysisDigital ForensicsMobile SecurityBinary Analysis
GitHubmsuiche/elegant-bouncer

elegant-bouncer

ELEGANTBOUNCER is a detection tool for file-based mobile exploits.

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17711811 months agoReviewed by Kitploit

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ELEGANTBOUNCER

ELEGANTBOUNCER is a detection tool for file-based mobile exploits.

It employs an innovative approach for advanced file-based threat identification, eliminating the need for in-the-wild samples and outperforming traditional methods based on regular expressions or IOCs. At present, it primarily targets the identification of mobile vulnerabilities such as FORCEDENTRY (CVE-2021-30860), BLASTPASS (CVE-2023-4863, CVE-2023-41064), and TRIANGULATION (CVE-2023-41990).

Support Table

Threat NameCVEsSupported
FORCEDENTRYCVE-2021-30860✅
BLASTPASSCVE-2023-4863, CVE-2023-41064✅
TRIANGULATIONCVE-2023-41990✅
CVE-2025-43300CVE-2025-43300✅

output of the detection tool

Learn more

  • FORCEDENTRY
  • BLASTPASS

Terminal User Interface

ELEGANTBOUNCER TUI - Real-time parallel scanning visualization

The TUI mode provides real-time visualization of parallel scanning operations, showing all active worker threads simultaneously. Enable it with the --tui flag when scanning directories.

Getting started

root@kitploit:~
elegant-bouncer v0.2
ELEGANTBOUNCER Detection Tool
Detection tool for file-based mobile exploits.

A utility designed to detect the presence of known mobile APTs in commonly distributed files.

Usage: elegant-bouncer [OPTIONS] <Input path>

Arguments:
  <Input path>
          Path to the input file or folder

Options:
  -v, --verbose
          Print extra output while parsing

  -s, --scan
          Assess a given file or folder, checking for known vulnerabilities

  -c, --create-forcedentry
          Create a FORCEDENTRY-like PDF

  -r, --recursive
          Recursively scan subfolders

  -m, --messaging
          Scan messaging app databases for attachments (iOS backup format)

  --ios-extract
          Extract/reconstruct iOS backup to readable folder structure

  -o, --output <OUTPUT>
          Output directory for iOS backup extraction

  -f, --force
          Force overwrite of output directory if not empty

  -e, --extensions <EXTENSIONS>
          File extensions to scan (comma-separated, e.g., "pdf,webp,ttf")
          Default: pdf,gif,webp,jpg,jpeg,png,tif,tiff,dng,ttf,otf

  -h, --help
          Print help information (use `-h` for a summary)

  -V, --version
          Print version information

Scanning Files and Folders

Single File Scan

Use --scan to assess a single file for known vulnerabilities:

root@kitploit:~
elegantbouncer --scan suspicious_file.pdf

Folder Scan

Scan all supported files in a directory:

root@kitploit:~
elegantbouncer --scan /path/to/folder

Recursive Folder Scan

Use -r flag to recursively scan all subdirectories:

root@kitploit:~
elegantbouncer --scan /path/to/folder -r

Custom File Extensions

Specify which file types to scan using the -e flag:

root@kitploit:~
# Scan only PDF and DNG files
elegantbouncer --scan /path/to/folder -e pdf,dng

# Scan only image files recursively
elegantbouncer --scan /path/to/folder -r -e jpg,jpeg,png,webp,gif

Default Extensions

By default, the tool scans files with these extensions:

  • Documents: pdf
  • Images: gif, webp, jpg, jpeg, png, tif, tiff, dng
  • Fonts: ttf, otf

Example Output

When scanning a directory, the tool provides:

  • Real-time progress updates
  • Immediate threat detection notifications
  • Summary table with all vulnerability types
  • Detailed infected files table with:
    • File path
    • Threat name
    • Associated CVE IDs
root@kitploit:~
[+] Scanning directory: /path/to/documents
[+] Recursive mode enabled
[+] Extensions: pdf, gif, webp, jpg, jpeg, png, tif, tiff, dng, ttf, otf

[1] Scanning: /path/to/documents/invoice.pdf
[2] Scanning: /path/to/documents/photo.jpg
[3] Scanning: /path/to/documents/malicious.webp
  └─ THREAT found: BLASTPASS
[4] Scanning: /path/to/documents/report.pdf
  └─ THREAT found: FORCEDENTRY

[+] Scanned 4 files

[+] Summary Results:
╭────────────────┬───────────────────────────────┬──────────────────────────────────────────────────────────────────────────┬──────────╮
│ name           │ cve_ids                       │ description                                                              │ detected │
├────────────────┼───────────────────────────────┼──────────────────────────────────────────────────────────────────────────┼──────────┤
│ FORCEDENTRY    │ CVE-2021-30860                │ Malicious JBIG2 PDF shared over iMessage                                 │ Yes      │
│ BLASTPASS      │ CVE-2023-4863, CVE-2023-41064 │ Malicious WebP presumably shared over iMessage and other mediums         │ Yes      │
│ TRIANGULATION  │ CVE-2023-41990                │ Maliciously crafted TrueType font embedded in PDFs shared over iMessage  │ No       │
│ CVE-2025-43300 │ CVE-2025-43300                │ Malicious DNG with JPEG Lossless compression exploiting RawCamera.bundle │ No       │
╰────────────────┴───────────────────────────────┴──────────────────────────────────────────────────────────────────────────┴──────────╯

[!] Infected Files Details:
╭────────────────────────────────┬─────────────┬───────────────────────────────╮
│ path                           │ threat_name │ cve_ids                       │
├────────────────────────────────┼─────────────┼───────────────────────────────┤
│ /path/to/documents/report.pdf  │ FORCEDENTRY │ CVE-2021-30860                │
│ /path/to/documents/malicious.webp │ BLASTPASS   │ CVE-2023-4863, CVE-2023-41064 │
╰────────────────────────────────┴─────────────┴───────────────────────────────╯

iOS Backup Analysis

Extract iOS Backup Structure

Reconstruct an iOS backup to its readable folder structure:

root@kitploit:~
# Extract backup to default location (creates _reconstructed folder)
elegantbouncer --ios-extract /path/to/ios/backup

# Extract to specific output directory
elegantbouncer --ios-extract /path/to/ios/backup -o /path/to/output

# Force overwrite if output directory exists
elegantbouncer --ios-extract /path/to/ios/backup -o /path/to/output --force

Scan Messaging App Attachments

Scan iOS backup for malicious attachments in messaging apps:

root@kitploit:~
# Scan messaging databases (iMessage, WhatsApp, Viber, Signal, Telegram)
elegantbouncer --scan --messaging /path/to/ios/backup

# Combine with extraction for complete analysis
elegantbouncer --ios-extract /path/to/ios/backup -o /tmp/extracted
elegantbouncer --scan --messaging /tmp/extracted

This feature detects threats in attachments from:

  • iMessage - SMS/MMS database attachments
  • WhatsApp - Media files from chats
  • Viber - Shared files and media
  • Signal - Attachments folder (database is encrypted)
  • Telegram - Cached media files

create-forcedentry

Use --create-forcedentry to generate a PDF from the ground up designed to exploit CVE-2021-30860. Work in progress.

Note: Pre-made samples can be found in the samples/ directory.

Recommendations

Use Lockdown Mode to decrease your attack surface if you think you are a person of interest.

Acknowledgements

  • Hamid K. (@Hamid-K) for the original implementation of messaging app scanning and iOS backup reconstruction
  • Valentin Pashkov, Mikhail Vinogradov, Georgy Kucherin (@kucher1n), Leonid Bezvershenko (@bzvr_), and Boris Larin (@oct0xor) of Kaspersky
  • Apple Security Engineering and Architecture (SEAR)
  • Bill Marczack
  • Jeff for helping me understand FORCEDENTRY
  • Valentina for suggesting this target
  • Ian Beer and Samuel Groß of Google Project Zero for their amazing write-up on the sample shared by Citizen Lab with them.
  • @mistymntncop for our exchanges and his work on CVE-2023-4863
  • Ben Hawkes

References

  • Detecting CVE-2025-43300: A Deep Dive into Apple's DNG Processing Vulnerability
  • Researching Triangulation: Detecting CVE-2023-41990 with single byte signatures.
  • Researching FORCEDENTRY: Detecting the Exploit With No Samples
  • Researching BLASTPASS: Detecting the exploit inside a WebP file - Part 1
  • Researching BLASTPASS: Analysing the Apple & Google WebP POC file - Part 2
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