AIGC: ContentProducer: Minimax Agent AI ContentPropagator: Minimax Agent AI Label: AIGC ProduceID: "00000000000000000000000000000000" PropagateID: "00000000000000000000000000000000" ReservedCode1: 3046022100d8fb03d49d8e140463d02bdb2868a07042019b5763856eab2ec45d3a938aaadf022100dae825f35c40395a84c126ece91eeb231eccf541aa37e69835147b20a35e942c ReservedCode2: 30440220794e4825772a93181d23db0dd5c7e399586ba254a0d10f7b8c8efbdac244802c02204ee574050f659f1c9a558ce1494a4b1cb3dd390337b77f45e18d17071796e37a

rlo-detector

Detect RLO/bidi-control Unicode character abuse in filenames.

Overview

rlo-detector is a security tool that detects filenames containing Unicode bidirectional control characters. These characters can be used to create deceptive filenames that appear legitimate but contain malicious extensions or content.

For example, a file named invoice\u202Efdp.exe may appear as invoice.pdf in some user interfaces, tricking users into thinking it's a safe document.

Installation

pip install rlo-detector

Or install from source:

pip install .

Usage

Command Line

# Scan current directory
rlo-detect

# Scan specific directory
rlo-detect /path/to/scan

# Recursive scan
rlo-detect -r /path/to/scan

# Follow symlinks
rlo-detect -r --follow-symlinks /path/to/scan

# Exclude patterns
rlo-detect -r --exclude '*/.git/*' --exclude '*/node_modules/*' /path/to/scan

# JSON output
rlo-detect --json /path/to/scan

# Exit with code 1 if suspicious files found
rlo-detect --fail-on-detect /path/to/scan

Python API

from pathlib import Path
from rlo_detector import analyze_path, Finding

# Analyze a single path
finding = analyze_path(Path("invoice\u202Efdp.exe"))
if finding:
    print(f"Warning: {finding.reason}")
    print(f"Severity: {finding.severity}")
    print(f"Real extension: {finding.real_extension}")
    print(f"Apparent extension: {finding.apparent_extension}")

# Iterate over paths
from rlo_detector import iter_paths

for path in iter_paths(["/path/to/scan"], recursive=True, follow_symlinks=False, exclude=[]):
    finding = analyze_path(path)
    if finding:
        print(f"Found: {path}")

Exit Codes

• 0: No suspicious paths found
• 1: Suspicious paths found (only when --fail-on-detect is set)
• 2: Runtime error

Detected Characters

The tool detects the following Unicode bidirectional control characters:

Severity Levels

• HIGH: The file's apparent extension differs from its real extension (definite spoofing)
• MEDIUM: The file contains bidi control characters (potential spoofing attempt)

License

MIT License - see LICENSE file for details.