Back to skill

Security audit

Cryptocurrency Market Live Briefing

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed crypto market-data briefing tool that only reads public Desk3 API data and prints summaries, with minor locale and financial-guidance caveats.

Before installing, understand that the skill makes live requests to Desk3 domains and defaults output formatting/content language to English. Its indicator text may sound like trading guidance, so use it as market information rather than professional financial advice.

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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (18)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The documentation says to add language: en when making requests, which directs the skill toward a specific language choice by default. This can violate language/locale policy because it does not present English as an opt-in user preference at the point of instruction.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The request helper hard-codes a language: 'en' header, which imposes a specific language on all fetched content. The file does not provide a user opt-in, configuration option, or documented justification for this locale constraint.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

The request hard-codes a language: 'en' header, which imposes a specific language/locale behavior. The file does not offer user opt-in, configurability, or a documented justification for restricting the request to English.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

The request unconditionally sets the language header to en, which imposes a specific language choice in the skill's behavior. This is a natural-language policy concern because the file does not offer user opt-in, configurability, or a documented reason for restricting output to English.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The request hard-codes a language header of 'en', which imposes a specific language choice on all users. This is a natural-language policy concern because the script does not offer any way to select or opt into a different locale.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

The script uses toLocaleString with 'en-US', forcing U.S. English formatting for dates and times regardless of user preference. This creates a locale policy issue because users are not given a choice or informed about the restriction.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

The fetch request hard-codes a language: 'en' header, which imposes a specific language setting with no user opt-in or explanation. Under the policy rule for natural-language violations, locale constraints should either be optional for the user or clearly justified as region-specific.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

The request hard-codes a language: 'en' header, which imposes a specific language/locale choice in the skill's behavior. The file does not offer user opt-in or explain why English is required, which matches the language/locale policy violation category.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
92% confidence
Finding

The request hard-codes a language: 'en' header, which imposes a specific language choice without any user opt-in or explanation. This matches the policy category for language or locale constraints that are not user-selectable or clearly justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

The request unconditionally sets a language: 'en' header, which imposes a specific language/locale choice in the skill's behavior. This matches the policy-violation category because the file provides no user opt-in, alternative locale selection, or justification for restricting responses to English.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The code sends a hard-coded language: 'en' header on every request, which imposes a specific language/locale without any user opt-in. This matches the policy-violation category for locale constraints because the file provides no mechanism to choose another language and no documented regional justification.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
91% confidence
Finding

The request hard-codes a language: 'en' header, which imposes a specific language choice on all users. Under the policy, locale or language constraints should be optional or clearly justified; this file provides neither user opt-in nor documentation for the restriction.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The request hard-codes the HTTP header language: 'en', which forces a specific language for fetched content. The file does not offer a user opt-in or configuration path for another language, which matches the language/locale policy violation criteria.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
92% confidence
Finding

The call to toLocaleString('en-US', ...) hard-codes the U.S. English locale for displayed timestamps. Because the skill does not provide any locale selection or documented justification, this is a natural-language locale policy issue.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The request explicitly sets the language header to en, which imposes a specific language preference in natural-language behavior. The file does not offer user opt-in, configurability, or a documented region-specific reason for this constraint.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

This second fetch repeats the same hard-coded language: 'en' behavior, again enforcing a locale choice in a way that may violate language/locale policy expectations. There is no indication that users can select another language or that English is required for compliance or system constraints.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

The fetch request hard-codes a language: 'en' header, which imposes a specific language preference with no opt-in or configurability. The policy explicitly flags language or locale constraints unless the skill offers user choice or clearly documents a justified region-specific requirement.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The code hard-codes a language: 'en' request header, which enforces a specific language/locale behavior for all users. The policy allows locale constraints only when users are given a choice or when the limitation is clearly documented and justified, neither of which is present here.

Content

No source excerpt is available for this finding.