deepset-ai farm up to 0.8.0 Tokenizer Loader tokenization.py EmbeddingTokenizer.from_pretrained vocab_filename path traversal

Summaryinfo

A vulnerability classified as problematic has been found in deepset-ai farm up to 0.8.0. Affected is the function EmbeddingTokenizer.from_pretrained of the file farm/modeling/tokenization.py of the component Tokenizer Loader. The manipulation of the argument vocab_filename leads to path traversal. This vulnerability only affects products that are no longer supported by the maintainer. This vulnerability is traded as CVE-2026-120334. It is possible to initiate the attack remotely. Furthermore, there is an exploit available. The vendor was contacted early about this disclosure but did not respond in any way.

Detailsinfo

A vulnerability was found in deepset-ai farm up to 0.8.0. It has been rated as problematic. This issue affects the function EmbeddingTokenizer.from_pretrained of the file farm/modeling/tokenization.py of the component Tokenizer Loader. The manipulation of the argument vocab_filename with an unknown input leads to a path traversal vulnerability. Using CWE to declare the problem leads to CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. Impacted is confidentiality.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-120334. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.

The exploit is available at github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• deepset-ai

Name

• farm

Version

• 0.1
• 0.2
• 0.3
• 0.4
• 0.5
• 0.6
• 0.7
• 0.8.0

Support

• end of life

CPE 2.3info

• 🔒
• 🔒
• 🔒

CPE 2.2info

• 🔒
• 🔒
• 🔒

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CVSSv3info

CVSSv2info

Exploitinginfo

Threat Intelligenceinfo

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Timelineinfo

Sourcesinfo

Entryinfo

Submitinfo

Accepted

• Submit #1016276: deepset FARM 0.4.4 up to 0.8.0 Path Traversal (by Dem0000000)

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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