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Security audit

altair-research

Security checks for vulnerabilities and agentic risk

Overview

This skill fetches public stock research with no observed credential collection, trading authority, or persistent changes.

Your research queries go to Altair; use only a trusted ALTAIR_MCP_URL override. Current [provider documentation](https://altairworld.com/mcp) confirms public report access but omits get_research_decisions, so compatibility may vary. Reports can be stale or incorrect and should not determine investment decisions.

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
  • 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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (2)

Tainted flow: 'request' from os.environ.get (line 58, 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/altair_research.py (reported line 60)May include surrounding context.

python
def post(body):
    request = urllib.request.Request(ENDPOINT, data=body, headers=HEADERS, method="POST")
    try:
        with urllib.request.urlopen(request, timeout=90) as response:
            text = response.read().decode("utf-8")
            streamed = "text/event-stream" in response.headers.get("Content-Type", "")
    except urllib.error.HTTPError as error:

Skill declares no tool scope ('permissions' or 'allowed-tools') but code capabilities were detected: env, network.

Medium
Category
MCP Least Privilege
Confidence
70% confidence
Finding

Without declared permissions the skill's intent is opaque and cannot be validated.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.