Nixpkgs security tracker
9.8 CRITICAL
- CVSS version (CVSS): 3.1
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): None (N)
- User Interaction (UI): None (N)
- Scope (S): Unchanged (U)
- Confidentiality (C): High (H)
- Integrity (I): High (H)
- Availability (A): High (H)
- Modified Attack Vector (MAV): Network (N)
- Modified Attack Complexity (MAC): Low (L)
- Modified Privileges Required (MPR): None (N)
- Modified User Interaction (MUI): None (N)
- Modified Confidentiality (MC): High (H)
- Modified Scope (MS): Unchanged (U)
- Modified Integrity (MI): High (H)
- Modified Availability (MA): High (H)
by @LeSuisse Activity log
- Created suggestion
-
@LeSuisse
ignored
13 packages
- unstructured-api
- pkgsRocm.unstructured-api
- python312Packages.unstructured-client
- python313Packages.unstructured-client
- python314Packages.unstructured-client
- python312Packages.unstructured-api-tools
- python312Packages.unstructured-inference
- python313Packages.unstructured-api-tools
- python313Packages.unstructured-inference
- python314Packages.unstructured-api-tools
- python314Packages.unstructured-inference
- pkgsRocm.python3Packages.unstructured-inference
- tests.devShellTools.unstructuredDerivationInputEnv
- @LeSuisse dismissed
Unstructured has Path Traversal via Malicious MSG Attachment that Allows Arbitrary File Write
The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. Prior to version 0.18.18, a path traversal vulnerability in the partition_msg function allows an attacker to write or overwrite arbitrary files on the filesystem when processing malicious MSG files with attachments. This issue has been patched in version 0.18.18.
References
Affected products
- ==< 0.18.18
Matching in nixpkgs
pkgs.python312Packages.unstructured
None
pkgs.python313Packages.unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines
pkgs.python314Packages.unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines
Ignored packages (13)
pkgs.unstructured-api
Open-source toolkit designed to make it easy to prepare unstructured data like PDFs, HTML and Word Documents for downstream data science tasks
pkgs.pkgsRocm.unstructured-api
Open-source toolkit designed to make it easy to prepare unstructured data like PDFs, HTML and Word Documents for downstream data science tasks
pkgs.python312Packages.unstructured-client
None
pkgs.python313Packages.unstructured-client
Python Client SDK for Unstructured API
pkgs.python314Packages.unstructured-client
Python Client SDK for Unstructured API
pkgs.python312Packages.unstructured-api-tools
None
pkgs.python312Packages.unstructured-inference
None
pkgs.python313Packages.unstructured-api-tools
None
pkgs.python313Packages.unstructured-inference
Hosted model inference code for layout parsing models
pkgs.python314Packages.unstructured-api-tools
None
pkgs.python314Packages.unstructured-inference
Hosted model inference code for layout parsing models
pkgs.pkgsRocm.python3Packages.unstructured-inference
Hosted model inference code for layout parsing models
Package maintainers
-
@happysalada Raphael Megzari <raphael@megzari.com>