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Security audit

Tts Voice Ai

Security checks for vulnerabilities and agentic risk

Overview

This is a coherent MiniMax text-to-speech skill that sends requested text to MiniMax and writes audio locally, with some privacy and consent guidance users should consider.

Before installing, treat any text you synthesize as data sent to MiniMax and avoid secrets, regulated data, or confidential material unless that use is approved. Use cloned voices only with clear permission from the voice owner, and consider pinning the requests dependency in controlled environments.

Vulnerability Patterns
  • Insecure DependenciesIntroduces malicious components through unsafe dependency sources
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
Findings (1)

T08 · Insecure Dependencies

Warning
Location
SKILL.md:7
Finding

Unpinned Third-Party Python Dependency

Content
View full analysis
Remediation
View remediation
] ``` 2. Use a lock file or requirements file that also pins all transitive dependencies. 3. Require cryptographic hashes during installation, such as pip's `--require-hashes` mode with SHA-256 hashes for every resolved package. 4. Install packages only from an explicitly trusted package index using TLS, and prevent fallback to untrusted or user-controlled indexes. 5. Run dependency vulnerability and provenance checks in CI before publishing the Skill. 6. Periodically update the pinned versions through a controlled review process rather than accepting automatic mutable upgrades. 7. Where supported, install and execute the Skill in an isolated environment with access limited to the required API credential, destination domains, input text, and output directory. ]]>
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (4)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The skill instructs users to submit arbitrary text to a third-party TTS provider but does not clearly disclose that the input content leaves the local environment and is processed by MiniMax. Users may unknowingly send sensitive prompts, personal data, or confidential business content to an external service, creating privacy, compliance, and data-handling risk.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill advertises voice cloning without any warning about consent, impersonation risk, or the sensitive biometric nature of voice data. This can facilitate misuse such as cloning another person's voice without authorization, and it fails to warn users about legal, ethical, and privacy obligations around biometric identifiers.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
80% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · tts.py (reported line 193)May include surrounding context.

python
data = {"voice_type": "all"}
    
    try:
        resp = requests.post(voice_url, headers=headers, json=data, timeout=30)
        resp.raise_for_status()
        result = resp.json()

External Transmission

Medium
Category
Data Exfiltration
Confidence
80% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · tts.py (reported line 266)May include surrounding context.

python
try:
        print(f"Generating speech...", file=sys.stderr)
        resp = requests.post(tts_url, headers=headers, json=payload, timeout=60)
        resp.raise_for_status()
        result = resp.json()

Static analysis

No suspicious patterns detected.