Authorization Bypass Detection
Tencent/AI-Infra-Guard
Probes an AI agent through dialogue for cross-user data access, privilege escalation and login bypass, and reports confirmed findings as structured vulnerability entries.
Agent skill
Hunting For Command And Control Beaconing
Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.
Install Hunting For Command And Control Beaconing
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hunting-for-command-and-control-beaconing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hunting-for-command-and-control-beaconing --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/hunting-for-command-and-control-beaconing .claude/skills/hunting-for-command-and-control-beaconing && 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 "hunting-for-command-and-control-beaconing" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-command-and-control-beaconing into .claude/skills/hunting-for-command-and-control-beaconing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-command-and-control-beaconing", 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/hunting-for-command-and-control-beaconingType 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 hunting-for-command-and-control-beaconing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hunting-for-command-and-control-beaconing --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/hunting-for-command-and-control-beaconing .agents/skills/hunting-for-command-and-control-beaconing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hunting-for-command-and-control-beaconing" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-command-and-control-beaconing into .agents/skills/hunting-for-command-and-control-beaconing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-command-and-control-beaconing", 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 hunting-for-command-and-control-beaconing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hunting-for-command-and-control-beaconing --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/hunting-for-command-and-control-beaconing .cursor/skills/hunting-for-command-and-control-beaconing && 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 "hunting-for-command-and-control-beaconing" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-command-and-control-beaconing into .cursor/skills/hunting-for-command-and-control-beaconing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-command-and-control-beaconing", 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/hunting-for-command-and-control-beaconing--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 hunting-for-command-and-control-beaconing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hunting-for-command-and-control-beaconing --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/hunting-for-command-and-control-beaconing .gemini/skills/hunting-for-command-and-control-beaconing && 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 "hunting-for-command-and-control-beaconing" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-command-and-control-beaconing into .gemini/skills/hunting-for-command-and-control-beaconing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-command-and-control-beaconing", 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 hunting-for-command-and-control-beaconingInstalls 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 hunting-for-command-and-control-beaconing -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/hunting-for-command-and-control-beaconing .github/skills/hunting-for-command-and-control-beaconing && 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 "hunting-for-command-and-control-beaconing" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-command-and-control-beaconing into .github/skills/hunting-for-command-and-control-beaconing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-command-and-control-beaconing", 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 hunting-for-command-and-control-beaconing -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 hunting-for-command-and-control-beaconing --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/hunting-for-command-and-control-beaconing .opencode/skills/hunting-for-command-and-control-beaconing && 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 "hunting-for-command-and-control-beaconing" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-command-and-control-beaconing into .opencode/skills/hunting-for-command-and-control-beaconing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-command-and-control-beaconing", 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.
Facts
- Skill name
hunting-for-command-and-control-beaconing- GitHub stars
- 34k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 407 words
- Files
- 8 (incl. scripts, references, assets)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.
- Works in 7 steps: Identify Beaconing Characteristics:… → Collect Network Telemetry: Aggregate… → Apply Frequency Analysis: Identify… → …
- Tasks that involve Red teaming and adversary simulation
- SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
- Runs Python scripts from its folder
What it does
Hunting For Command And Control Beaconing is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 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 Red teaming and adversary simulation. 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.
When your agent uses it
- Tasks that involve Red teaming and adversary simulation
Example prompts
- “/hunting-for-command-and-control-beaconing”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Identify Beaconing Characteristics: Define what constitutes beaconing (regular intervals, small payload sizes, consistent destinations…
- Collect Network Telemetry: Aggregate proxy logs, DNS queries, and connection metadata for analysis.
- Apply Frequency Analysis: Identify connections with regular intervals using statistical methods (standard deviation, coefficient of…
- Filter Known-Good Traffic: Exclude legitimate periodic traffic (Windows Update, AV updates, heartbeat services, NTP).
- Analyze Domain/IP Reputation: Check identified beaconing destinations against threat intel, WHOIS data, and certificate transparency logs.
- Investigate Endpoint Context: Correlate beaconing activity with process creation, user context, and file system changes on source endpoints.
- Confirm and Respond: Validate C2 activity, block communication, and initiate incident response.
What it can do on your machine
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Hunting For Command And Control Beaconing loads about 1.1k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 407 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 407 words, ~1,131 tokens.
Download SKILL.mdSave it as
.claude/skills/hunting-for-command-and-control-beaconing/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- hunting-for-command-and-control-beaconing
- description
- Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.
- domain
- cybersecurity
- subdomain
- threat-hunting
- tags
- threat-hunting, mitre-attack, c2, beaconing, network-analysis, proactive-detection
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- d3fend_techniques
- File Metadata Consistency Validation, Certificate Analysis, Application Protocol Command Analysis, Content Format Conversion, File Content Analysis
- nist_csf
- DE.CM-01, DE.AE-02, DE.AE-07, ID.RA-05
- mitre_attack
- T1046, T1057, T1082, T1083, T1071
Hunting for Command and Control Beaconing
When to Use
- When proactively hunting for compromised systems in the network
- After threat intel indicates C2 frameworks targeting your industry
- When investigating periodic outbound connections to suspicious domains
- During incident response to identify active C2 channels
- When DNS query logs show unusual patterns to specific domains
Prerequisites
- Network proxy/firewall logs with full URL and timing data
- DNS query logs (passive DNS, DNS server logs, or Sysmon Event ID 22)
- Zeek/Bro network connection logs or NetFlow data
- SIEM with statistical analysis capabilities (Splunk, Elastic)
- Threat intelligence feeds for domain/IP reputation
Workflow
- Identify Beaconing Characteristics: Define what constitutes beaconing (regular intervals, small payload sizes, consistent destinations, jitter patterns).
- Collect Network Telemetry: Aggregate proxy logs, DNS queries, and connection metadata for analysis.
- Apply Frequency Analysis: Identify connections with regular intervals using statistical methods (standard deviation, coefficient of variation).
- Filter Known-Good Traffic: Exclude legitimate periodic traffic (Windows Update, AV updates, heartbeat services, NTP).
- Analyze Domain/IP Reputation: Check identified beaconing destinations against threat intel, WHOIS data, and certificate transparency logs.
- Investigate Endpoint Context: Correlate beaconing activity with process creation, user context, and file system changes on source endpoints.
- Confirm and Respond: Validate C2 activity, block communication, and initiate incident response.
Key Concepts
| Concept | Description |
|---|---|
| T1071 | Application Layer Protocol (HTTP/HTTPS/DNS C2) |
| T1071.001 | Web Protocols (HTTP/S beaconing) |
| T1071.004 | DNS (DNS tunneling C2) |
| T1573 | Encrypted Channel |
| T1572 | Protocol Tunneling |
| T1568 | Dynamic Resolution (DGA, fast-flux) |
| T1132 | Data Encoding in C2 |
| T1095 | Non-Application Layer Protocol |
| Beacon Interval | Time between C2 check-ins |
| Jitter | Random variation in beacon interval |
| DGA | Domain Generation Algorithm |
| Fast-Flux | Rapidly changing DNS resolution |
Show full SKILL.md (137 more words)Show less
Tools & Systems
| Tool | Purpose |
|---|---|
| RITA (Real Intelligence Threat Analytics) | Automated beacon detection in Zeek logs |
| Splunk | Statistical beacon analysis with SPL |
| Elastic Security | ML-based anomaly detection for beaconing |
| Zeek/Bro | Network connection metadata collection |
| Suricata | Network IDS with JA3/JA4 fingerprinting |
| VirusTotal | Domain and IP reputation checking |
| PassiveDNS | Historical DNS resolution data |
| Flare | C2 profile detection |
Common Scenarios
- Cobalt Strike Beacon: HTTP/HTTPS beaconing with configurable sleep time and jitter to malleable C2 profiles.
- DNS Tunneling C2: Data exfiltration and command receipt via encoded DNS TXT/CNAME queries to attacker-controlled domains.
- Sliver C2 over HTTPS: Modern C2 framework using HTTPS with configurable beacon intervals and domain fronting.
- DGA-based C2: Malware generating random domains daily, with adversary registering upcoming domains for C2.
- Legitimate Service Abuse: C2 over legitimate cloud services (Azure, AWS, Slack, Discord, Telegram).
Output Format
Hunt ID: TH-C2-[DATE]-[SEQ]
Source IP: [Internal IP]
Source Host: [Hostname]
Destination: [Domain/IP]
Protocol: [HTTP/HTTPS/DNS/Custom]
Beacon Interval: [Average seconds]
Jitter: [Percentage]
Connection Count: [Total connections]
Data Volume: [Bytes sent/received]
First Seen: [Timestamp]
Last Seen: [Timestamp]
Domain Age: [Days]
TI Match: [Yes/No - source]
Risk Level: [Critical/High/Medium/Low]© 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
Files
SKILL.md and 7 other files (scripts, references, assets) in skills/hunting-for-command-and-control-beaconing of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- assets/template.md
- references/api-reference.md
- references/standards.md
- references/workflows.md
- scripts/agent.py
- scripts/process.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Hunting For Command And Control Beaconing 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 |
|---|---|---|---|---|---|---|
| Hunting For Command And Control Beaconing this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Authorization Bypass DetectionTencent/AI-Infra-Guard | 6.8k | — | ~753 | Automated safety check: Pass | Apache-2.0 | |
| Run Assert Evalresponsibleai/ASSERT | 330 | — | ~11k | Automated safety check: Notes | MIT | |
| Osint Methodologyelementalsouls/Claude-OSINT | 2.8k | — | ~8.7k | Automated safety check: Notes | MIT | |
| Lfd Designelvisun/loss-function-development | 176 | — | ~2.9k | Automated safety check: Notes | MIT | |
| Acl AbuseADScanPro/Claude-AD | 211 | — | ~2.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Hunting For Command And Control Beaconing
What does Hunting For Command And Control Beaconing do?
Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure. Hunting For Command And Control Beaconing is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.
When should I use Hunting For Command And Control Beaconing?
Hunting For Command And Control Beaconing fits situations like: tasks that involve Red teaming and adversary simulation.
How do I install Hunting For Command And Control Beaconing in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hunting-for-command-and-control-beaconing -a claude-code`. Or copy the skill folder (skills/hunting-for-command-and-control-beaconing in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/hunting-for-command-and-control-beaconing in your project. Claude Code loads it when a task matches its description.
How do I install Hunting For Command And Control Beaconing in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hunting-for-command-and-control-beaconing -a codex`. Or copy the skill folder (skills/hunting-for-command-and-control-beaconing in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/hunting-for-command-and-control-beaconing in your project. Codex loads it when a task matches its description.
Can I use Hunting For Command And Control Beaconing in Cursor, Gemini CLI or GitHub Copilot?
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 hunting-for-command-and-control-beaconing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hunting-for-command-and-control-beaconing, .gemini/skills/hunting-for-command-and-control-beaconing, .github/skills/hunting-for-command-and-control-beaconing and .opencode/skills/hunting-for-command-and-control-beaconing in your project.
What does Hunting For Command And Control Beaconing need to run?
Going by SKILL.md and its folder, Hunting For Command And Control Beaconing needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Hunting For Command And Control Beaconing access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Hunting For Command And Control Beaconing safe to install?
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.
What licence does Hunting For Command And Control Beaconing use?
Hunting For Command And Control Beaconing 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.
How many tokens does Hunting For Command And Control Beaconing use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Hunting For Command And Control Beaconing?
Skills that share tags, products or a category with Hunting For Command And Control Beaconing: Authorization Bypass Detection (Tencent/AI-Infra-Guard, 6.8k stars), Run Assert Eval (responsibleai/ASSERT, 330 stars), Osint Methodology (elementalsouls/Claude-OSINT, 2.8k stars) and Lfd Design (elvisun/loss-function-development, 176 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hunting For Command And Control Beaconing?
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.