Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessCraft malicious weight_map with traversal shard_name
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ExploitVictim runs extract_mtp_heads pipeline
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ExecutionPath traversal resolves outside target dir
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ImpactRead or overwrite unintended files
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V5 - File Handling Path canonicalization, traversal prevention
MITRE ATT&CK
2 techniques across 2 tactics: Discovery, Collection The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires that a victim invoke the extract_mtp_heads function in qwen-mtp-gguf/scripts/qwen_mtp_gguf_pipeline.py against an attacker-influenced MTP weight_map whose shard_name value contains path-traversal sequences; the flaw is in the MTP weight_map Handler's handling of the shard_name argument. The key limiting factors are: user interaction is required (CVSS UI:P - a victim must run the pipeline on the crafted input), impact is limited to low confidentiality/integrity/availability, and there is no network-facing service implied - the 'remote' characterization most plausibly means delivery of a malicious model artifact rather than exploitation of a listening endpoint. No authentication is required per PR:N, but the dependence on local pipeline execution of untrusted input substantially narrows realistic exploitation. |
| Impact | This is a genuinely low-priority issue despite being a path traversal (CWE-22) with a publicly available PoC. The vendor-assigned CVSS 4.0 score is only 2.1, consistent with its low impact metrics (VC:L/VI:L/VA:L) and the UI:P requirement meaning exploitation is not fully autonomous - a user must process attacker-controlled input for the malicious shard_name to be parsed by extract_mtp_heads. It is NOT in CISA KEV, so there is no confirmed active exploitation, and no EPSS score was provided in the input, so widespread-exploitation probability cannot be quantified. The description's claim that the attack can be 'initiated remotely' conflicts with the actual mechanism: a path-traversal via a weight_map shard_name in a local Python finetuning pipeline is realistically a case of processing a crafted/malicious model artifact, not a network service - verify the true attack vector before treating this as a remote-exploitable flaw. Signals are consistent overall (low CVSS, PoC-only, no KEV), and the dominant risk driver is deployment footprint: this is an obscure personal GitHub guide repository with negligible production presence, so real-world risk is minimal. |
| Exploit ScenarioDerived | An attacker publishes or supplies a crafted model/weight artifact whose weight_map contains a shard_name with directory-traversal sequences (e.g. ../../). When a victim runs the qwen_mtp_gguf_pipeline.py extraction on that artifact, the unsanitized shard_name causes file reads or writes outside the intended directory. A public PoC (poc.zip) exists, but exploitation depends on the victim processing the attacker-supplied input (UI:P). |
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Alert meAnalysisAIv1 – Oct 21, 2026
Path traversal in the Jackrong Finetuning Guide's Qwen MTP GGUF pipeline lets an unauthenticated remote attacker supply a crafted MTP weight_map whose shard_name value contains traversal sequences, causing files outside the intended model directory to be accessed when a victim runs the extract_mtp_heads function. The affected code is qwen-mtp-gguf/scripts/qwen_mtp_gguf_pipeline.py through commit ef2b17f2798cd18cd85375080c35a58397ad0d09, distributed as a rolling release with no tagged versions. Publicly available exploit code exists, but impact is limited to low confidentiality, integrity, and availability with required user interaction, and there is no CISA KEV listing at time of analysis.
RemediationAI
No vendor-released patch was identified at time of analysis; the maintainer was informed through https://github.com/R6410418/Jackrong-llm-finetuning-guide/issues/16 but had not responded, so there is no exact fixed version to cite. Until an upstream fix lands, locally patch extract_mtp_heads to reject absolute shard_name values and any path containing '..', normalize the candidate path, and verify with os.path.realpath that it remains under the expected model directory before opening it; the trade-off is that legitimate nested shard layouts may need an explicit allowlist. Avoid running the Qwen MTP GGUF pipeline against untrusted model artifacts, and when testing untrusted inputs run it in a least-privilege container with a read-only model mount and no access to secrets or sensitive host paths; this reduces impact but does not remove the flaw and may disrupt normal caching or write workflows. Track https://github.com/R6410418/Jackrong-llm-finetuning-guide/issues/16 and https://github.com/R6410418/Jackrong-llm-finetuning-guide/ for an upstream commit or release, and consult https://vuldb.com/vuln/422910 for updated advisory information.
Affected VersionsENISA
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Technical ContextAI · show details
The issue is a CWE-22 path traversal in a Python model-processing pipeline for Qwen MTP GGUF artifacts. The extract_mtp_heads function consumes an MTP weight_map and uses the caller-supplied shard_name argument to locate shard files; without canonicalizing the resulting path and verifying it remains inside the expected model directory, values containing ../ sequences or absolute paths can escape that directory. The CPE identifies the R6410418 Jackrong-llm-finetuning-guide repository with a wildcard version because the project uses a rolling release model and does not publish tagged affected or fixed versions. The assessed CVSS:3.1 vector (AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L) reflects that exploitation requires a victim to invoke the pipeline on an attacker-influenced model artifact; the 'remote' vector most plausibly describes delivery of a malicious weight_map rather than a listening network service, and no authentication is required per PR:N.
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Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P
A victim must run the pipeline on attacker-supplied model data (UI:R) which may be fetched remotely (AV:N); no auth needed (PR:N); traversal yields limited file read/write, so C/I/A all Low.
Primary rating from Vendor (VulDB).
CVSS VectorVendor: VulDB
Lifecycle Timeline
3DescriptionCVE.org
A vulnerability has been found in R6410418 Jackrong-llm-finetuning-guide up to ef2b17f2798cd18cd85375080c35a58397ad0d09. This vulnerability affects the function extract_mtp_heads of the file qwen-mtp-gguf/scripts/qwen_mtp_gguf_pipeline.py of the component MTP weight_map Handler. The manipulation of the argument shard_name leads to path traversal. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The project was informed of the problem early through an issue report but has not responded yet.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Path traversal exploits occur when applications use user-controlled input to construct file system paths without proper validation.
EUVD-2026-106991
GHSA-q5q6-rw2f-74pm
NVD
CVE.org
EPSS
VulDB
Exploit-DB