Live › vulnerability › CVE-2026-120335
The deepset-ai Farm library up to 0.8.0 fails to validate the embeddings_filename argument in WordEmbedding_LM.load, enabling path traversal. A local attacker can point the loader at files outside the intended directory.
Summary written from the sources below. Check the originals before acting.
First seen by InfraStack 2026-11-02 03:31 UTC. All times on this page are UTC.
Only teams that load word embedding models in Farm with a filename that could come from untrusted input are exposed. The description says the vendor is no longer supporting these versions, so no upstream fix is confirmed. Teams that hardcode model paths or do not use this loader can skip it.
No product ranges from the sources yet.
pip show farm-haystack or pip show farm and see whether it is 0.8.0 or earlierWordEmbedding_LM.load that take a user-supplied embeddings_filenameNo fix yet, per the sources.
Each row is the first time that source carried this signal. The analyst’s rows are its own findings.
A vulnerability has been found in deepset-ai farm up to 0.8.0. Affected is the function WordEmbedding_LM.load of the file farm/modeling/language_model.py of the component Model Package Loader. The manipulation of the argument embeddings_filename leads to path traversal. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way. This vulnerability only affects products that are no longer supported by the maintainer.
This page as .md · .json · in your agent: get_signal("CVE-2026-120335")
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