T09 · Insecure Skill Coding Practices
Warning
- Location
- scripts/search_and_poll.sh:111
- Finding
- Ambiguous Asynchronous Search Result Correlation## Vulnerability Details **File Location**: `scripts/search_and_poll.sh`, lines 111–119 **Vulnerability Type**: Incorrect asynchronous result correlation **Risk Level**: Medium ### Vulnerable Code ```python unwrap_data(run_json(cmd)) target = {"region": region, "month": month, "keyword": keyword.strip(), "aiInterpret": ai} log_id = None for _ in range(10): for item in (unwrap_data(run_json([logs_sh,"1","20"])).get("items") or []): p = item.get("param") or {} if (p.get("region") or "US") == region and str(p.get("month") or "") == month and (p.get("keyword") or "").strip() == keyword.strip(): log_id = item.get("id"); break if log_id: break ``` ### Technical Analysis The script discards the submitted search response and attempts to discover the corresponding record by querying account history. It matches records using only `region`, `month`, and `keyword`. This comparison omits other submitted parameters, including `departments` and `aiInterpret`. It also does not verify a creation timestamp, unique request identifier, or record ownership beyond possession of the shared API credential. Although a `target` object includes `aiInterpret`, that object is never used. Consequently, concurrent or repeated requests with identical matched fields can be correlated with the wrong history entry. The first partially matching record among the latest 20 entries is accepted without ambiguity detection. ### Attack Path 1. Two users or processes operate with the same `CLAWEC_API_KEY`. 2. They submit searches with the same region, month, and keyword but different departments or AI interpretation settings. 3. Each process queries the latest 20 search-history records. 4. The matching loop selects the first record whose region, month, and keyword match. 5. One process can select the other process's record ID. 6. The selected record's keyword results and AI analysis are fetched and returned to the wrong caller. Exploitation requires access ...[truncated 561 chars]
- Remediation
- ## Remediation Suggestions 1. Capture and use an immutable record or job identifier returned directly by the search endpoint. 2. If the endpoint does not return an identifier, add a unique client-generated request ID and require the service to preserve and return it. 3. As a temporary fallback, compare every submitted parameter, including normalized `departments` and `aiInterpret`, and require the record creation time to be later than the local submission time. 4. Detect multiple matching records and fail safely instead of selecting the first one. 5. Avoid sharing API credentials among mutually untrusted users. Use separate credentials or server-side tenant isolation where supported. 6. Add concurrency tests covering simultaneous searches with identical region, month, and keyword values but different departments and AI settings.