CVE-2026-100187 (GCVE-0-2026-100187)
Vulnerability from cvelistv5 – Published: 2026-09-25 13:42 – Updated: 2026-09-25 14:49- CWE-20 - Improper Input Validation
| URL | Tags |
|---|---|
| https://github.com/ail-project/ail-framework/comm… | patch |
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ail project | ail framework |
Affected:
unspecified , < 7.1
(semver)
|
guessed |
qwen3.8:27b
advisory
bcp-05-x-01bcp-05-x-02
Draft vulnerability metadata was generated from a git-format patch using an Ollama-hosted language model. Human validation is required before publication.
| Model | Source | Identifier |
|---|---|---|
| qwen3.8:27b | ollama | qwen3.8:27b |
- Generator
-
patch2vuln.pyon 2026-09-25 13:37 - Model
qwen3.8:27b- Input
-
https://github.com/ail-project/ail-framework/commit/5c8a68b3d8c7d7b03e5febe4ac5b5aca91826adb.patch
9fbf19112822… - Confidence
- medium
| Commit | Subject | Patch SHA-256 |
|---|---|---|
5c8a68b3d8c7
|
chg: [security] Onion module, prevent non-onion crawler task | 9fbf19112822… |
Fix summary
The length-based shortcut that bypassed onion-domain validation is removed. Every extracted URL is now parsed using the standard URL domain extraction function, and the resulting hostname is validated against the existing onion-domain validation routine before the URL is added to the crawler task set. This ensures that only URLs whose hostname is a genuine .onion domain can be queued as crawler tasks.
Patch summary
In bin/modules/Onion.py, the conditional block that checked len(url) == 69 and url.endswith('.onion') to shortcut domain extraction (url[7:]) without calling crawlers.is_valid_onion_domain() is removed. The code is replaced with an unconditional call to crawlers.get_url_domain(url) followed by a check that the returned domain is truthy and passes crawlers.is_valid_onion_domain(domain) before adding the domain and URL to the respective sets. Net change: 2 insertions, 9 deletions in a single file.
CVSS rationale
Attack Vector is Network because the attacker publishes crafted content on the web that the framework crawls. Attack Complexity is Low because the attacker only needs to construct a URL of exactly 69 characters ending in .onion with a non-onion hostname. No special Adversary Techniques are required. Privileges Required is None because the attacker is an unauthenticated content publisher. User Interaction is None because the crawler processes the content automatically. The primary impact is Low Integrity on the vulnerable component: the crawler task queue is polluted with non-onion URLs, violating the integrity of the framework's target selection. No confidentiality or availability impact is evident from the patch. No subsequent component impact is identified in the evidence.
Weakness rationale
- CWE-20 The URL input was validated using an insufficient heuristic (string length and suffix) that could be satisfied by non-onion URLs. The proper hostname parsing and onion-domain validation step was bypassed by the shortcut, allowing attacker-controlled URLs to be accepted as valid onion targets.
Attack pattern rationale
- CAPEC-126 The attacker tampers with URL parameters embedded in untrusted crawled content to bypass the application's validation logic and inject non-onion targets into the crawler task queue. CAPEC-126 is the closest available pattern describing manipulation of input parameters to achieve unintended application behavior. The mapping is approximate because the attack vector is content-based injection rather than direct request parameter manipulation, but the core mechanism (crafting input to bypass validation) aligns with this pattern.
Assumptions to verify
- The affected version range is inferred from the tag_version_boundary metadata indicating the fix commit is 24 commits before the v7.1 tag; the exact version number of the vulnerable release is not specified in the patch.
- The CVSS assumes the attacker can place crafted content in a location the AIL Framework crawler will process; the specific crawling scope and configuration are not detailed in the patch.
- CAPEC-126 (Parameter Tampering) is the closest available attack pattern; the actual attack is content-based URL injection rather than classic request parameter tampering, so the mapping is approximate.
- The impact is assessed as Low Integrity based on the evidence that non-onion URLs are queued as crawler tasks; broader downstream consequences (e.g., SSRF-like effects) are not evidenced in the patch and are not assumed.
- The commit date (24 Sep 2026) is taken as-is from the patch metadata; no independent verification of the timeline is performed.
Model comparison
Selected qwen3.8:27b
by deterministic-consensus-v1
The selected result is closest to model consensus; this heuristic does not establish factual correctness and human review remains required.
| Model | Score | Agreement | Confidence | Assumptions |
|---|---|---|---|---|
qwen3.8:27b |
5 | 9 | medium | 5 |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.