T09 · Insecure Skill Coding Practices
Error
- Location
scripts/scan.js:163- Finding
Missing Evidence Is Reported as a Completed Low-Risk Assessment
- Content
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{ console.log(` ⏳ ${name}`); // Note: During actual operation, sentiment data must be obtained through // batch_web_search and extract_content_from_websites. // This returns a placeholder structure; the agent performs real calls in the session. return analyzeCompany(name, []); }); ``` The comments above are an English translation of the original comments; the executable statement is unchanged. ### Technical Analysis The executable script does not implement the web-search and content-extraction workflow described in `SKILL.md`. It passes an empty array to `analyzeCompany` for every company: ```javascript return analyzeCompany(name, []); ``` The empty array becomes an empty combined text value. No risk keywords are detected, so all scoring dimensions remain zero. The script then assigns a score of `0` and the `R1` low-risk classification. This is a fail-open design: absence of evidence is interpreted as evidence of low risk. The resulting JSON has the structure and presentation of a completed assessment, but it is based on no news, regulatory, financial, or governance information. It also lacks the source URLs required by the documented output model. ### Attack Path 1. An operator or automated process invokes the script with one or more company names. 2. The script does not retrieve any current public information. 3. Each company is passed to `analyzeCompany` with an empty news array. 4. Keyword-based risk dimensions remain at zero. 5. Every company receives a zero score and an `R1` low-risk rating. 6. The script persists the misleading result under `reports/risk-report-YYYY-MM-DD.json`. 7. A user or downstream process treats the generated report as a completed credit-risk assessment. An ...[truncated 968 chars]- Remediation
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