# CVE-2026-109155: DeepPavlov path traversal in Model Download Handler

Source: https://junglewise.ai/threats/cve-2026-109155-a-flaw-has-been-found-in-deeppavlov-up-to-1-7-0-this-impacts-the  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-10-13. Updated: 2026-10-16  
License: CC BY 4.0 with a link back

CVE-2026-109155 · Severity: medium · CVSS 6.3 · Published 2026-10-13

DeepPavlov is an open-source library for building chatbots and dialogue systems using deep learning. A path traversal vulnerability in its Model Download Handler component allows attackers to extract files to arbitrary locations on a system during model downloads, potentially enabling remote code execution or data theft. The flaw affects versions up to 1.7.0 and requires no authentication.

Technologies: [DeepPavlov](https://junglewise.ai/threats/technologies/deeppavlov). Vendors: [DeepPavlov](https://junglewise.ai/threats/vendors/deeppavlov).

## Quick answers

**Is CVE-2026-109155 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-109155 being exploited in the wild.

**How severe is CVE-2026-109155?** Medium severity, with a CVSS score of 6.3, published 13 October 2026.

**Which products and versions are affected?** DeepPavlov up to 1.7.0.

**Is there a fix for CVE-2026-109155?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2026-109155 attacked?** It is attacked over the network.

**Am I affected by CVE-2026-109155?** Check whether you run DeepPavlov at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

The vulnerability exists in the untar function of the Model Download Handler component, which fails to properly sanitize archive file paths during extraction. An attacker can craft a malicious model archive with path traversal sequences (e.g., "../../../") to write files outside the intended directory. This is a CWE-22 path traversal flaw exploitable remotely by providing a specially crafted model download.

## Affected products

- DeepPavlov DeepPavlov up to 1.7.0

## Timeline

- 2026-08-13: disclosed: Vulnerability report filed via GitHub issue #1711 by security researcher
- 2026-10-13: advisory: CVE-2026-109155 published

## References

- [https://github.com/deeppavlov/DeepPavlov/](https://github.com/deeppavlov/DeepPavlov/)
- [https://github.com/deeppavlov/DeepPavlov/issues/1711](https://github.com/deeppavlov/DeepPavlov/issues/1711)

## Related threats

- [DeepPavlov code injection in MultiTaskPipelinePreprocessor](https://junglewise.ai/threats/cve-2026-112100-a-vulnerability-was-determined-in-deeppavlov-up-to-1-7-0-this)
- [DeepPavlov code injection in config reference resolver](https://junglewise.ai/threats/cve-2026-112098-a-security-flaw-has-been-discovered-in-deeppavlov-up-to-1-7-0)