Individual skill
aatmf-t09-multimodal
AATMF T9 — Multimodal & Cross-Channel. Image steganography → text exec, audio prompt injection, video frame inject, document-with-hidden-text.
packages/decepticon/decepticon/skills/plugins/llm-redteam/t09-multimodal/SKILL.md
Source commit cc6044561ff32188dc0aa899bcc7d3666ffcfd1c
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 6,560
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- cybersecurity Repository topic
- hacking Repository topic
- langchain Repository topic
- langgraph Repository topic
- llm Repository topic
- generative-ai Repository topic
- pentesting Repository topic
- pentest Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# T9 — Multimodal & Cross-Channel
Attacks leveraging modalities beyond text — vision, audio, video.
The attack surface widens significantly when the LLM processes
non-textual inputs.
## Techniques
### T9.001 — Image-embedded prompt injection
Embed text in an image that the vision-LLM OCRs:
- Plain text overlaid on a photo (white text on white background, small font)
- Adversarial-example perturbation steered toward specific text recognition
- EXIF metadata fields parsed by some pipelines
- Image filename containing instructions (if model considers filenames)