CVE-2026-115813

Server-side request forgery in the model download path in Amazon Web Services Multi Model Server 1.1.11 and earlier might allow remote actors to send requests to internal network destinations via a crafted model URL. Multi Model Server is end of life and no fixed version is available. Users shoul...

CVE-2026-115813

The Amazon Web Services Multi Model Server (version 1.1.11 and earlier ) is vulnerable to a Server-Side Request Forgery (SSRF) in the model download path. This flaw allows remote actors to send requests to internal network destinations by providing a crafted model URL . Because the software is en...

EUVD-2026-109112

Server-side request forgery in the model download path in Amazon Web Services Multi Model Server 1.1.11 and earlier might allow remote actors to send requests to internal network destinations via a crafted model URL. Multi Model Server is end of life and no fixed version is available. Users shoul...

CVE-2026-115813 Server-side request forgery in the model download path in Amazon Web Services Multi Model Server

Server-side request forgery in the model download path in Amazon Web Services Multi Model Server 1.1.11 and earlier might allow remote actors to send requests to internal network destinations via a crafted model URL. Multi Model Server is end of life and no fixed version is available. Users shoul...

PT-2026-122189

Server-side request forgery in the model download path in Amazon Web Services Multi Model Server 1.1.11 and earlier might allow remote actors to send requests to internal network destinations via a crafted model URL. Multi Model Server is end of life and no fixed version is available. Users shoul...

CVE-2026-109155

A path traversal vulnerability exists in DeepPavlov versions up to 1.7.0 . The flaw resides in the untar function within the Model Download Handler component. This vulnerability allows for remote execution of a path traversal attack. While the issue was reported via a project issue report, the pr...

CVE-2026-109155 DeepPavlov Model Download untar path traversal

A flaw has been found in DeepPavlov up to 1.7.0. This impacts the function untar of the component Model Download Handler. This manipulation causes path traversal. The attack is possible to be carried out remotely. The project was informed of the problem early through an issue report but has not...

CVE-2026-109155

A flaw has been found in DeepPavlov up to 1.7.0. This impacts the function untar of the component Model Download Handler. This manipulation causes path traversal. The attack is possible to be carried out remotely. The project was informed of the problem early through an issue report but has not...

CVE-2026-109155: Improper Limitation of a Pathname to a Restricted Directory

A flaw has been found in DeepPavlov up to 1.7.0. This impacts the function untar of the component Model Download Handler. This manipulation causes path traversal. The attack is possible to be carried out remotely. The project was informed of the problem early through an issue report but has not...

CVE-2026-79785 X-AnyLabeling before 4.0.0-beta.9 Improper Certificate Validation in Model Downloads

X-AnyLabeling's model downloader disabled TLS certificate verification. downloadwithretry in anylabeling/services/autolabeling/model.py built a context with ssl.createunverifiedcontext and passed it to urllib.request.urlopen, so neither the certificate chain nor the hostname was checked on any...

CVE-2026-79785

X-AnyLabeling's model downloader disabled TLS certificate verification by calling ssl._create_unverified_context() in download_with_retry (within anylabeling/services/auto_labeling/model.py), so neither the certificate chain nor hostname was validated when fetching models over HTTPS. An attacker ...

TorchServe vulnerable to bypass of allowed_urls configuration

ImpactTorchServe's check on allowedurls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effective...

PT-2026-53623

Impact TorchServe's check on allowed urls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which...

CVE-2026-44017

A flaw was found in Docling. The EasyOCR model download functionality improperly extracts ZIP archives without validating member paths, enabling Zip Slip attacks. If an attacker compromises the model download source e.g., via a supply chain or Man-in-the-Middle MITM attack, they could write...

CVE-2026-44017

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. Prior to 2.91.0, the EasyOCR model download functionality extracted ZIP archives without validating member paths, enabling Zip Slip attacks. If an attacker could compromi...

PYSEC-2026-2143

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. Prior to 2.91.0, the EasyOCR model download functionality extracted ZIP archives without validating member paths, enabling Zip Slip attacks. If an attacker could compromi...

CVE-2026-44017 Docling: Unsafe Zip Extraction in EasyOCR Model Download

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. Prior to 2.91.0, the EasyOCR model download functionality extracted ZIP archives without validating member paths, enabling Zip Slip attacks. If an attacker could compromi...

CVE-2026-44017 Docling: Unsafe Zip Extraction in EasyOCR Model Download

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. Prior to 2.91.0, the EasyOCR model download functionality extracted ZIP archives without validating member paths, enabling Zip Slip attacks. If an attacker could compromi...

CVE-2026-44017 Docling: Unsafe Zip Extraction in EasyOCR Model Download

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. Prior to 2.91.0, the EasyOCR model download functionality extracted ZIP archives without validating member paths, enabling Zip Slip attacks. If an attacker could compromi...

CVE-2026-44017

CVE-2026-44017 concerns Docling’s EasyOCR model download: prior to 2.91.0, ZIP archives were extracted without validating member paths, enabling Zip Slip path traversal. An attacker who could supply or intercept the model source could overwrite files anywhere writable by the process, potentially ...