Zero-Click Mobile Security Exploitation
Budget / Salary$890,000–1,000,000
TypeFreelance project
LocationRemote
Posted1 hour ago
Submission Type
Vulnerability Disclosure / Bug Bounty Submission
Submission Category
Mobile Security — Zero-Click Exploitation
Severity Classification
Critical (CVSS 9.0–10.0)
1. Submission Summary
This submission describes a discovered zero-click attack chain affecting mobile messaging applications on both iOS and Android platforms. The vulnerability allows an attacker to compromise a target device without any user interaction. This document serves as the formal description for researchers, security teams, and bug bounty programs to evaluate, reproduce, and remediate the reported issue.
Submitted by: [Researcher Name / Handle]
Contact: [Secure Email / PGP Key]
Date of Discovery: [Date]
Disclosure Type: Coordinated / Responsible Disclosure
2. Vulnerability Overview
What was found: A chain of vulnerabilities enabling zero-click remote code execution on mobile devices through a messaging application.
Where it was found: Mobile messaging client on iOS and Android
How it was found: [Fuzzing / Static analysis / Manual code review / Traffic analysis / Reverse engineering]
Why it matters: An attacker can compromise a target device with no user interaction — no clicks, no downloads, no prompts. The victim only needs to receive a message.
3. Affected Platforms and Versions
Platform Application Version OS Version Status
iOS [Version range] [iOS range] Confirmed vulnerable
Android [Version range] [Android range] Confirmed vulnerable
Patch Status: [Unpatched / Partially patched / Patched in version X]
4. Vulnerability Details
4.1 Root Cause
Describe the underlying flaw:
Type: [Memory corruption / Logic flaw / Command injection / Deserialization / Authorization bypass]
Component: [Media parser / Session handler / URL scheme handler / AI content pipeline]
Trigger: [Malicious message / Auto-downloaded media / Linked-device sync / AI-generated response]
4.2 Attack Chain
Describe the chain of events:
Initial vector: Attacker sends a crafted message to target
Processing flaw: Client processes the message without validation
Privilege escalation: Attacker gains code execution or session access
Persistence: Attacker maintains access via [linked device / background process / scheduled task]
4.3 Platform Differences
Aspect iOS Android
Trigger mechanism [Describe] [Describe]
Exploited component [Describe] [Describe]
Blocking protections [Lockdown Mode, BlastDoor] [Scoped Storage, SELinux]
Exploit reliability [High/Medium/Low] [High/Medium/Low]
5. Prerequisites
For the attack to succeed, the following conditions must be met:
□ Target uses affected app version
□ Target runs affected OS version
□ Auto-download enabled (if applicable)
□ Target is in a group with attacker (if applicable)
□ Linked-device feature active (if applicable)
□ Specific network conditions (if applicable)
Minimum requirements: [List the absolute minimum conditions]
6. Proof of Concept
Important: Provide only enough to demonstrate the vulnerability. Do not weaponize.
6.1 Reproduction Steps (High-Level)
[Step 1 — setup]
[Step 2 — trigger]
[Step 3 — observe]
[Step 4 — confirm compromise]
6.2 Evidence Collected
□ Crash logs
□ Memory dumps
□ Network captures
□ Screenshots / video
□ Log excerpts (unified logs / logcat)
6.3 Indicators of Compromise
Indicator Platform Description
[Log event] iOS [Description]
[File artifact] Android [Description]
[Network signature] Both [Description]
7. Impact Assessment
7.1 Technical Impact
Confidentiality: [Full device access / Message access / Contact access]
Integrity: [Code execution / Message tampering / Session hijack]
Availability: [Device bricking / App crash / Data loss]
7.2 Realistic Attack Scenarios
Targeted surveillance: High-value individuals (journalists, activists, executives)
Mass exploitation: If trigger is broadcastable
Supply chain: If exploited via shared content
7.3 Severity Justification
CVSS Score: [X.X]
Vector: [CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H]
Rationale: Zero-click, remote, cross-platform, high impact
8. Reproduction Environment
Item Details
Test device 1 [iPhone model, iOS version]
Test device 2 [Android model, OS version]
App version [Version tested]
Network setup [Wi-Fi / Cellular / Isolated]
Tools used [Frida / LLDB / Wireshark / etc.]
9. Detection Guidance for Defenders
9.1 iOS Detection
Unified log queries: [Provide specific predicates]
sysdiagnose indicators: [List artifacts]
Linked-device audit: [How to check for rogue sessions]
9.2 Android Detection
logcat queries: [Provide specific filters]
File system artifacts: [Paths to check]
Permission audit: [What to review]
9.3 Network Detection
C2 patterns: [URLs, headers, timing]
Beacon behavior: [Interval, size, destination]
Anomalous traffic: [What stands out]
10. Mitigation Recommendations
10.1 Immediate (User-Level)
Disable auto-download for all media types
Restrict group additions to contacts only
Enable two-step verification
Audit linked devices and remove unknown sessions
Enable iOS Lockdown Mode (high-risk users)
Restrict Android app permissions
10.2 Short-Term (Vendor-Level)
Patch the vulnerable component
Add input validation for the trigger vector
Sandbox the affected parser
Enforce authentication on session sync
10.3 Long-Term (Platform-Level)
Strengthen sandboxing for media parsers
Add memory safety protections (e.g., PAC, MTE)
Improve AI content pipeline validation
Expand detection telemetry for zero-click vectors
11. Disclosure Timeline
Date Event
[Date] Vulnerability discovered
[Date] Initial report submitted to vendor
[Date] Vendor acknowledged receipt
[Date] Vendor requested additional details
[Date] Patch released
[Date] Public disclosure
Disclosure Window: [90 days / Extended / Coordinated]
12. Submission Checklist
Before submitting, confirm:
□ All affected platforms and versions documented
□ Root cause clearly explained
□ Reproduction steps provided (non-weaponized)
□ Impact assessment completed
□ Detection guidance included
□ Mitigation recommendations provided
□ Ethical boundaries respected (no exploit code)
□ Public sources cited where applicable
□ Researcher contact information included
□ Disclosure timeline documented
13. Researcher Declaration
I confirm that:
This vulnerability was discovered through lawful, ethical research
No unauthorized access to third-party systems occurred
No exploit code or weaponized payloads are included in this submission
This report is submitted in good faith for defensive purposes
I agree to coordinate disclosure with the affected vendor
Researcher Name: ________________________
Signature: ________________________
Date: ________________________
14. Attachments
□ Full technical report (PDF)
□ Log excerpts (redacted)
□ Network captures (sanitized)
□ Screenshots / video evidence
□ Reproduction script (non-weaponized)
□ References to related CVEs / advisories
15. Contact Information
Primary Contact: [Name]
Email: [Secure email]
PGP Key: [Fingerprint]
Alternate Contact: [Name / Email]
Organization: [If applicable]
END OF SUBMISSION DESCRIPTION
Vulnerability Disclosure / Bug Bounty Submission
Submission Category
Mobile Security — Zero-Click Exploitation
Severity Classification
Critical (CVSS 9.0–10.0)
1. Submission Summary
This submission describes a discovered zero-click attack chain affecting mobile messaging applications on both iOS and Android platforms. The vulnerability allows an attacker to compromise a target device without any user interaction. This document serves as the formal description for researchers, security teams, and bug bounty programs to evaluate, reproduce, and remediate the reported issue.
Submitted by: [Researcher Name / Handle]
Contact: [Secure Email / PGP Key]
Date of Discovery: [Date]
Disclosure Type: Coordinated / Responsible Disclosure
2. Vulnerability Overview
What was found: A chain of vulnerabilities enabling zero-click remote code execution on mobile devices through a messaging application.
Where it was found: Mobile messaging client on iOS and Android
How it was found: [Fuzzing / Static analysis / Manual code review / Traffic analysis / Reverse engineering]
Why it matters: An attacker can compromise a target device with no user interaction — no clicks, no downloads, no prompts. The victim only needs to receive a message.
3. Affected Platforms and Versions
Platform Application Version OS Version Status
iOS [Version range] [iOS range] Confirmed vulnerable
Android [Version range] [Android range] Confirmed vulnerable
Patch Status: [Unpatched / Partially patched / Patched in version X]
4. Vulnerability Details
4.1 Root Cause
Describe the underlying flaw:
Type: [Memory corruption / Logic flaw / Command injection / Deserialization / Authorization bypass]
Component: [Media parser / Session handler / URL scheme handler / AI content pipeline]
Trigger: [Malicious message / Auto-downloaded media / Linked-device sync / AI-generated response]
4.2 Attack Chain
Describe the chain of events:
Initial vector: Attacker sends a crafted message to target
Processing flaw: Client processes the message without validation
Privilege escalation: Attacker gains code execution or session access
Persistence: Attacker maintains access via [linked device / background process / scheduled task]
4.3 Platform Differences
Aspect iOS Android
Trigger mechanism [Describe] [Describe]
Exploited component [Describe] [Describe]
Blocking protections [Lockdown Mode, BlastDoor] [Scoped Storage, SELinux]
Exploit reliability [High/Medium/Low] [High/Medium/Low]
5. Prerequisites
For the attack to succeed, the following conditions must be met:
□ Target uses affected app version
□ Target runs affected OS version
□ Auto-download enabled (if applicable)
□ Target is in a group with attacker (if applicable)
□ Linked-device feature active (if applicable)
□ Specific network conditions (if applicable)
Minimum requirements: [List the absolute minimum conditions]
6. Proof of Concept
Important: Provide only enough to demonstrate the vulnerability. Do not weaponize.
6.1 Reproduction Steps (High-Level)
[Step 1 — setup]
[Step 2 — trigger]
[Step 3 — observe]
[Step 4 — confirm compromise]
6.2 Evidence Collected
□ Crash logs
□ Memory dumps
□ Network captures
□ Screenshots / video
□ Log excerpts (unified logs / logcat)
6.3 Indicators of Compromise
Indicator Platform Description
[Log event] iOS [Description]
[File artifact] Android [Description]
[Network signature] Both [Description]
7. Impact Assessment
7.1 Technical Impact
Confidentiality: [Full device access / Message access / Contact access]
Integrity: [Code execution / Message tampering / Session hijack]
Availability: [Device bricking / App crash / Data loss]
7.2 Realistic Attack Scenarios
Targeted surveillance: High-value individuals (journalists, activists, executives)
Mass exploitation: If trigger is broadcastable
Supply chain: If exploited via shared content
7.3 Severity Justification
CVSS Score: [X.X]
Vector: [CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H]
Rationale: Zero-click, remote, cross-platform, high impact
8. Reproduction Environment
Item Details
Test device 1 [iPhone model, iOS version]
Test device 2 [Android model, OS version]
App version [Version tested]
Network setup [Wi-Fi / Cellular / Isolated]
Tools used [Frida / LLDB / Wireshark / etc.]
9. Detection Guidance for Defenders
9.1 iOS Detection
Unified log queries: [Provide specific predicates]
sysdiagnose indicators: [List artifacts]
Linked-device audit: [How to check for rogue sessions]
9.2 Android Detection
logcat queries: [Provide specific filters]
File system artifacts: [Paths to check]
Permission audit: [What to review]
9.3 Network Detection
C2 patterns: [URLs, headers, timing]
Beacon behavior: [Interval, size, destination]
Anomalous traffic: [What stands out]
10. Mitigation Recommendations
10.1 Immediate (User-Level)
Disable auto-download for all media types
Restrict group additions to contacts only
Enable two-step verification
Audit linked devices and remove unknown sessions
Enable iOS Lockdown Mode (high-risk users)
Restrict Android app permissions
10.2 Short-Term (Vendor-Level)
Patch the vulnerable component
Add input validation for the trigger vector
Sandbox the affected parser
Enforce authentication on session sync
10.3 Long-Term (Platform-Level)
Strengthen sandboxing for media parsers
Add memory safety protections (e.g., PAC, MTE)
Improve AI content pipeline validation
Expand detection telemetry for zero-click vectors
11. Disclosure Timeline
Date Event
[Date] Vulnerability discovered
[Date] Initial report submitted to vendor
[Date] Vendor acknowledged receipt
[Date] Vendor requested additional details
[Date] Patch released
[Date] Public disclosure
Disclosure Window: [90 days / Extended / Coordinated]
12. Submission Checklist
Before submitting, confirm:
□ All affected platforms and versions documented
□ Root cause clearly explained
□ Reproduction steps provided (non-weaponized)
□ Impact assessment completed
□ Detection guidance included
□ Mitigation recommendations provided
□ Ethical boundaries respected (no exploit code)
□ Public sources cited where applicable
□ Researcher contact information included
□ Disclosure timeline documented
13. Researcher Declaration
I confirm that:
This vulnerability was discovered through lawful, ethical research
No unauthorized access to third-party systems occurred
No exploit code or weaponized payloads are included in this submission
This report is submitted in good faith for defensive purposes
I agree to coordinate disclosure with the affected vendor
Researcher Name: ________________________
Signature: ________________________
Date: ________________________
14. Attachments
□ Full technical report (PDF)
□ Log excerpts (redacted)
□ Network captures (sanitized)
□ Screenshots / video evidence
□ Reproduction script (non-weaponized)
□ References to related CVEs / advisories
15. Contact Information
Primary Contact: [Name]
Email: [Secure email]
PGP Key: [Fingerprint]
Alternate Contact: [Name / Email]
Organization: [If applicable]
END OF SUBMISSION DESCRIPTION
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