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Security audit

Step Asr

Security checks for vulnerabilities and agentic risk

Overview

This is a straightforward remote transcription skill that sends user-selected audio to StepFun's ASR API using the user's StepFun API key.

Install only if you are comfortable sending selected audio files and any prompt text to StepFun for transcription, and avoid using it for sensitive recordings unless that fits your privacy and data-handling requirements.

A.I.G

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

SkillSpector

Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • 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
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (6)

Tainted flow: 'req' from os.environ.get (line 95, credential/environment) → urllib.request.urlopen (network output)

Critical
Category
Data Flow
Confidence
90% confidence
Finding

Credentials or environment variables flow to a network sink. This is a high-confidence indicator of credential exfiltration.

Content

Scanner excerpt · scripts/transcribe.py (reported line 107)May include surrounding context.

python
)

    try:
        resp = urllib.request.urlopen(req)
    except urllib.error.HTTPError as e:
        err_body = e.read().decode("utf-8", errors="replace")
        print(f"HTTP {e.code}: {err_body}", file=sys.stderr)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
94% confidence
Finding

The skill performs network access, reads an API key from the environment, and can write output files, but it does not declare any explicit tool scope or permissions. This weakens least-privilege controls and transparency for users, increasing the chance that the skill is run with broader capabilities than expected.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

The skill sends user-provided audio to an external ASR provider, but the description and usage text do not clearly warn about this data transfer. Audio may contain sensitive speech, personal information, or confidential business content, so failing to disclose third-party transmission creates a privacy and consent risk.

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/transcribe.py (reported line 12)May include surrounding context.

python
import urllib.request
import urllib.error

API_URL = "https://api.stepfun.com/v1/audio/asr/sse"

FORMAT_MAP = {
    ".pcm": ("pcm", "pcm_s16le"),

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The script transmits the full audio content to an external ASR service without any explicit runtime warning, confirmation, or privacy notice. In a transcription tool, network transmission is expected, but audio may contain sensitive personal, financial, medical, or corporate information, so silent exfiltration to a third party creates a real privacy and data-governance risk.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The CLI sets --language to zh by default, which imposes a specific language/locale choice unless the user overrides it. This is a natural-language policy concern because the tool does not first ask the user to choose a language or make the default locale-neutral.

Content

No source excerpt is available for this finding.