CVE-2026-43979 json
Local Deep Research: HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)
published 2026-05-11 5 mo ago modified 2026-10-26 13 d ago also GHSA-fj2m-qvh9-jq4q , PYSEC-2026-2610 , EUVD-2026-32978
- cvss
- 5.0
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.3%
- EPSS 0.3% chance of exploitation in 30 days, percentile 26%
- public exploits
- 0
- none known
Summary
Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.0, PDFService._markdown_to_html() constructs an HTML document by interpolating user-controlled values — specifically title (sourced from research.title or research.query) and metadata key-value pairs — directly into an f-string without any HTML escaping. An authenticated attacker can craft a research query containing HTML special characters to inject arbitrary HTML tags into the document processed by WeasyPrint during PDF export. This injection can be chained to trigger a Server-Side Request Forgery (SSRF), bypassing the application's existing SSRF defenses in ssrf_validator.py. This vulnerability is fixed in 1.6.0.
Patch / fix
- pypi local-deep-research 1.6.0
CISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- no
- Technical impact
- partial
- Assessed
- 5 mo ago
Exploit prediction
0.33% chance of exploitation in the next 30 days, higher than 26% of all scored CVEs (FIRST EPSS, 2026-11-08).
Exploits and checks
- github.com https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 5.0 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N |
| OSV | 3.1 | 5.0 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N |
| GitHub | 3.1 | 5.0 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | local-deep-research | <1.6.0 |
1.6.0 |
Affected products
- LearningCircuit local-deep-research
Classification
References
-
github.com
/LearningCircuit/local-deep-research/pull/3082
web
-
github.com
/LearningCircuit/local-deep-research/pull/3613
web
-
github.com
/LearningCircuit/local-deep-research/commit/0148fa265a3da460c07def7441f9ac49ea61fbcb
web
-
github.com
/LearningCircuit/local-deep-research/commit/15f13d5c79847f1c38c2dc67bd0027c38af9e34b
web
-
github.com
/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q
exploit, web
-
nvd.nist.gov
/vuln/detail/CVE-2026-43979
advisory
-
github.com
/LearningCircuit/local-deep-research
package
-
pypi.org
/project/local-deep-research
package
-
github.com
/advisories/GHSA-fj2m-qvh9-jq4q
advisory
Sources
- CVE List CVE-2026-43979
- GitHub Advisory GHSA-fj2m-qvh9-jq4q
- NVD CVE-2026-43979
- OSV PYSEC-2026-2610
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