Osint
smixs/osint-skill
Conduct deep OSINT research on individuals. An agent skill from smixs/osint-skill.
Agent skill
Extracts embedded configuration from Agent Tesla RAT samples, including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints, via .NET decompilation and memory analysis.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-config-from-agent-tesla-rat --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/extracting-config-from-agent-tesla-rat .claude/skills/extracting-config-from-agent-tesla-rat && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "extracting-config-from-agent-tesla-rat" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-config-from-agent-tesla-rat into .claude/skills/extracting-config-from-agent-tesla-rat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-config-from-agent-tesla-rat", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-config-from-agent-tesla-ratType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-config-from-agent-tesla-rat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/extracting-config-from-agent-tesla-rat .agents/skills/extracting-config-from-agent-tesla-rat && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "extracting-config-from-agent-tesla-rat" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-config-from-agent-tesla-rat into .agents/skills/extracting-config-from-agent-tesla-rat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-config-from-agent-tesla-rat", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-config-from-agent-tesla-rat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/extracting-config-from-agent-tesla-rat .cursor/skills/extracting-config-from-agent-tesla-rat && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "extracting-config-from-agent-tesla-rat" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-config-from-agent-tesla-rat into .cursor/skills/extracting-config-from-agent-tesla-rat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-config-from-agent-tesla-rat", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/extracting-config-from-agent-tesla-rat--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-config-from-agent-tesla-rat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/extracting-config-from-agent-tesla-rat .gemini/skills/extracting-config-from-agent-tesla-rat && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "extracting-config-from-agent-tesla-rat" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-config-from-agent-tesla-rat into .gemini/skills/extracting-config-from-agent-tesla-rat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-config-from-agent-tesla-rat", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-config-from-agent-tesla-ratInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/extracting-config-from-agent-tesla-rat .github/skills/extracting-config-from-agent-tesla-rat && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "extracting-config-from-agent-tesla-rat" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-config-from-agent-tesla-rat into .github/skills/extracting-config-from-agent-tesla-rat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-config-from-agent-tesla-rat", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-config-from-agent-tesla-rat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/extracting-config-from-agent-tesla-rat .opencode/skills/extracting-config-from-agent-tesla-rat && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "extracting-config-from-agent-tesla-rat" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-config-from-agent-tesla-rat into .opencode/skills/extracting-config-from-agent-tesla-rat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-config-from-agent-tesla-rat", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
extracting-config-from-agent-tesla-ratExtracts embedded configuration from Agent Tesla RAT samples, including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints, via .NET decompilation and memory analysis.
Extracting Config From Agent Tesla Rat is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Extracts embedded configuration from Agent Tesla RAT samples, including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints, via .NET decompilation and memory analysis. Use when analyzing a suspected or confirmed Agent Tesla sample and you need to recover its exfiltration channel and C2 configuration for threat intelligence or incident response.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).
It sits in Security, covering Transactional email, OSINT and Incident response. It works with Telegram and .NET. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
splunk.comblog.qualys.comany.runtrustwave.commalpedia.caad.fkie.fraunhofer.deFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Extracting Config From Agent Tesla Rat loads about 1.8k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 254 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 254 words, ~1,814 tokens.
.claude/skills/extracting-config-from-agent-tesla-rat/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Agent Tesla is a .NET-based Remote Access Trojan (RAT) and keylogger that ranked among the top 10 malware variants in 2024, impacting 6.3% of corporate networks globally. It exfiltrates stolen credentials via SMTP email, FTP upload, Telegram bot API, or Discord webhooks. The malware configuration is embedded in the .NET assembly, typically obfuscated using string encryption, resource encryption, or custom loaders that decrypt and execute Agent Tesla in memory via .NET Reflection (fileless). Configuration extraction involves decompiling the .NET assembly with dnSpy or ILSpy, identifying the decryption routine for configuration strings, and extracting SMTP server addresses, credentials, FTP endpoints, Telegram bot tokens, and targeted applications.
dnlib or pythonnet for automated extraction#!/usr/bin/env python3
"""Extract Agent Tesla RAT configuration from .NET assemblies."""
import re
import sys
import json
import base64
import hashlib
from pathlib import Path
def extract_strings_from_dotnet(filepath):
"""Extract readable strings from .NET binary for config analysis."""
with open(filepath, 'rb') as f:
data = f.read()
# Extract US (User Strings) heap from .NET metadata
strings = []
# Look for common Agent Tesla config patterns
patterns = {
"smtp_server": re.compile(rb'smtp[\.\-][\w\.\-]+\.\w{2,}', re.I),
"email": re.compile(rb'[\w\.\-]+@[\w\.\-]+\.\w{2,}'),
"ftp_url": re.compile(rb'ftp://[\w\.\-:/]+', re.I),
"telegram_token": re.compile(rb'\d{8,10}:[A-Za-z0-9_-]{35}'),
"telegram_chat": re.compile(rb'(?:chat_id=|chatid[=:])[\-]?\d{5,15}', re.I),
"discord_webhook": re.compile(rb'https://discord\.com/api/webhooks/\d+/[\w-]+'),
"password": re.compile(rb'(?:pass(?:word)?|pwd)[=:]\s*[\w!@#$%^&*]{4,}', re.I),
"port": re.compile(rb'(?:port|smtp_port)[=:]\s*\d{2,5}', re.I),
}
results = {}
for name, pattern in patterns.items():
matches = pattern.findall(data)
if matches:
results[name] = [m.decode('utf-8', errors='replace') for m in matches]
# Extract Base64-encoded strings (common obfuscation)
b64_pattern = re.compile(rb'[A-Za-z0-9+/]{20,}={0,2}')
b64_decoded = []
for match in b64_pattern.finditer(data):
try:
decoded = base64.b64decode(match.group())
text = decoded.decode('utf-8', errors='strict')
if text.isprintable() and len(text) > 5:
b64_decoded.append(text)
except Exception:
pass
if b64_decoded:
results["base64_decoded_strings"] = b64_decoded[:30]
return results
def decrypt_agenttesla_strings(data, key_hex):
"""Decrypt Agent Tesla encrypted configuration strings."""
key = bytes.fromhex(key_hex)
# Agent Tesla V1: Simple XOR with key
decrypted_strings = []
# Find encrypted blobs (high-entropy byte sequences)
blob_pattern = re.compile(rb'[\x80-\xff]{16,256}')
for match in blob_pattern.finditer(data):
blob = match.group()
# Try XOR decryption
decrypted = bytes(b ^ key[i % len(key)] for i, b in enumerate(blob))
try:
text = decrypted.decode('utf-8', errors='strict')
if text.isprintable() and len(text.strip()) > 3:
decrypted_strings.append(text.strip())
except UnicodeDecodeError:
pass
# V2: SHA256-based key derivation then AES
sha256_key = hashlib.sha256(key).digest()
return decrypted_strings
def analyze_exfiltration_config(config):
"""Analyze extracted configuration for exfiltration methods."""
methods = []
if config.get("smtp_server"):
methods.append({
"type": "SMTP",
"servers": config["smtp_server"],
"emails": config.get("email", []),
})
if config.get("ftp_url"):
methods.append({
"type": "FTP",
"urls": config["ftp_url"],
})
if config.get("telegram_token"):
methods.append({
"type": "Telegram",
"tokens": config["telegram_token"],
"chat_ids": config.get("telegram_chat", []),
})
if config.get("discord_webhook"):
methods.append({
"type": "Discord",
"webhooks": config["discord_webhook"],
})
return methods
if __name__ == "__main__":
if len(sys.argv) < 2:
print(f"Usage: {sys.argv[0]} <agent_tesla_sample>")
sys.exit(1)
config = extract_strings_from_dotnet(sys.argv[1])
methods = analyze_exfiltration_config(config)
report = {"raw_config": config, "exfiltration_methods": methods}
print(json.dumps(report, indent=2))© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (scripts, references, assets) in skills/extracting-config-from-agent-tesla-rat of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Extracting Config From Agent Tesla Rat next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Extracting Config From Agent Tesla Rat this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Osintsmixs/osint-skill | 141 | — | ~5.5k | Automated safety check: Pass | MIT | |
| Malware Analystaiskillstore/marketplace | 433 | 6 repos | ~1.7k | Automated safety check: Pass | None | |
| Deliverability Incident Responsegrowthenginenowoslawski/coldoutboundskills | 753 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Better Notifybetter-notify/better-notify | 313 | — | ~783 | Automated safety check: Pass | MIT | |
| Migrate Dotnet9 To Dotnet10dotnet/skills | 5.6k | 2 repos | ~4.8k | Automated safety check: Pass | MIT |
smixs/osint-skill
Conduct deep OSINT research on individuals. An agent skill from smixs/osint-skill.
aiskillstore/marketplace
Expert malware analyst specializing in defensive malware research, threat intelligence, and incident response.
growthenginenowoslawski/coldoutboundskills
Triage playbook for when cold email deliverability breaks. An agent skill from growthenginenowoslawski/coldoutboundskills.
better-notify/better-notify
End-to-end typed notification infrastructure for Node.js — typed catalog of email, SMS, push, web push, WhatsApp, Slack, Discord, Telegram, and GitHub notifications with provider-agnostic transports.
dotnet/skills
Migrate a .NET 9 project or solution to .NET 10 and resolve all breaking changes.
avelikiy/great_cto
Turns a leaked key, token or password into one tracked rotation task the moment it's spotted, instead of a reminder repeated every session.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Categories
Extracts embedded configuration from Agent Tesla RAT samples, including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints, via .NET decompilation and memory analysis. Extracting Config From Agent Tesla Rat is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.NET decompilation and memory analysis.
Extracting Config From Agent Tesla Rat fits situations like: analyzing a suspected; confirmed Agent Tesla sample and you need to recover its exfiltration channel and C2 configuration for threat intelligence; incident response.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a claude-code`. Or copy the skill folder (skills/extracting-config-from-agent-tesla-rat in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/extracting-config-from-agent-tesla-rat in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a codex`. Or copy the skill folder (skills/extracting-config-from-agent-tesla-rat in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/extracting-config-from-agent-tesla-rat in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-config-from-agent-tesla-rat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extracting-config-from-agent-tesla-rat, .gemini/skills/extracting-config-from-agent-tesla-rat, .github/skills/extracting-config-from-agent-tesla-rat and .opencode/skills/extracting-config-from-agent-tesla-rat in your project.
Going by SKILL.md and its folder, Extracting Config From Agent Tesla Rat needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md names 5 domains. As links in the text: splunk.com, blog.qualys.com, any.run, trustwave.com and malpedia.caad.fkie.fraunhofer.de. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Extracting Config From Agent Tesla Rat is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 767 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Extracting Config From Agent Tesla Rat: Osint (smixs/osint-skill, 141 stars), Malware Analyst (aiskillstore/marketplace, 433 stars), Deliverability Incident Response (growthenginenowoslawski/coldoutboundskills, 753 stars) and Better Notify (better-notify/better-notify, 313 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.