CVE-2026-108947 (GCVE-0-2026-108947)
Vulnerability from cvelistv5 – Published: 2026-10-13 01:00 – Updated: 2026-10-13 13:23
VLAI
EPSS
VEX
Title
yoshitomo-matsubara torchdistill main_util.py load_ckpt deserialization
Summary
A flaw has been found in yoshitomo-matsubara torchdistill up to 1.1.5. This affects the function load_ckpt of the file torchdistill/common/main_util.py. Executing a manipulation of the argument src_ckpt can lead to deserialization. The attack needs to be launched locally. The exploit has been published and may be used. The project maintainer explains: "This is very similar to an internal report that GH auto-generated for the owner before, which I found tolerable for this project at that time. So I will close this as duplicate."
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-13 13:23 UTC
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/416771 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/416771/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-108947 | third-party-advisory |
| https://vuldb.com/submit/997819 | third-party-advisory |
| https://github.com/yoshitomo-matsubara/torchdisti… | exploitissue-tracking |
| https://github.com/yoshitomo-matsubara/torchdisti… | issue-tracking |
| https://github.com/yoshitomo-matsubara/torchdistill/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| yoshitomo-matsubara | torchdistill |
Affected:
1.1.0
Affected: 1.1.1 Affected: 1.1.2 Affected: 1.1.3 Affected: 1.1.4 Affected: 1.1.5 cpe:2.3:a:yoshitomo-matsubara:torchdistill:*:*:*:*:*:*:*:* |
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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.
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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.