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Security audit

EmpirioLabs AI Transcribe

Security checks for vulnerabilities and agentic risk

Overview

This skill coherently transcribes user-selected audio or video through EmpirioLabs, with expected API-key, network, upload, polling, and optional output-file behavior.

Install only if you are comfortable sending selected audio/video content, media URLs, and resulting transcript data to EmpirioLabs for processing. Do not use it for confidential or regulated recordings unless that provider and account are approved for that data.

Vulnerability Patterns
  • 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
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Tool MisuseTool Parameter Abuse, Chaining Abuse, Unsafe Defaults
  • Taint TrackingDirect Taint Flow, Variable-Mediated Taint Flow, Credential Exfiltration Chain
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
Findings (7)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
91% confidence
Finding

The skill invokes a Python script that uses environment secrets, writes output files, and performs network access, but it does not declare an explicit tool scope such as permissions or allowed-tools. That mismatch weakens sandboxing and user/operator awareness, increasing the chance the skill is granted broader capabilities than intended or executed without proper review of sensitive actions.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The skill description explains functionality but does not prominently warn that both local files and supplied HTTPS URLs are sent to a third-party service for transcription. Users may provide sensitive recordings under the assumption processing is local, causing unintended disclosure of confidential audio, transcripts, metadata, or URL-accessible content to an external provider.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% 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 · scripts/empiriolabs_api.py (reported line 29)May include surrounding context.

python
__version__ = "1.0.0"

API_BASE = "https://api.empiriolabs.ai/v1"
KEY_ENV = "EMPIRIOLABS_API_KEY"
KEYS_URL = "https://platform.empiriolabs.ai/dashboard/api-keys"
BILLING_URL = "https://platform.empiriolabs.ai/dashboard/billing"

Unsafe Defaults

Medium
Category
Tool Misuse
Confidence
75% confidence
Finding

Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.

Content

Scanner excerpt · scripts/empiriolabs_api.py (reported line 352)May include surrounding context.

python
def list_models(timeout=60.0):
    """The public model catalog. No API key is needed."""
    payload = get_json("/models", auth=False, timeout=timeout)
    models = payload.get("data") if isinstance(payload, dict) else payload
    return models if isinstance(models, list) else []

Unsafe Defaults

Medium
Category
Tool Misuse
Confidence
75% confidence
Finding

Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.

Content

Scanner excerpt · scripts/empiriolabs_api.py (reported line 360)May include surrounding context.

python
def list_models(timeout=60.0):
    """The public model catalog. No API key is needed."""
    payload = get_json("/models", auth=False, timeout=timeout)
    models = payload.get("data") if isinstance(payload, dict) else payload
    return models if isinstance(models, list) else []

Tainted flow: 'partial' from os.environ.get (line 689, credential/environment) → open (file write)

Medium
Category
Data Flow
Confidence
65% confidence
Finding

Data from a source is assigned to a variable that is later passed to a sink, creating a variable-mediated taint flow.

Content

Scanner excerpt · scripts/empiriolabs_api.py (reported line 691)May include surrounding context.

python
os.makedirs(folder, exist_ok=True)
                partial = path + ".part"
                try:
                    with open(partial, "wb") as handle:
                        while True:
                            chunk = resp.read(1024 * 256)
                            if not chunk:

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The script accepts either a local file path or a remote URL and sends the audio/video content to an external transcription API, but it does not present any explicit warning, consent check, or data-sharing notice at the point of use. Because transcription inputs commonly contain sensitive personal, business, or regulated information, users may inadvertently exfiltrate confidential content to a third party without realizing it.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.