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🛡️ CVE-2026-44016 — docling

🟠 CVSS 8.0 — High ✅ No Known Exploit CWE-918 OSV
8.0
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

Docling: Unsafe Playwright-based HTML Rendering

Impact

In versions >= 2.82.0, < 2.91.0, if the HTML backend was explicitly configured for rendering (rendering option by default deactivated), then the Playwright-based rendering feature could allow JavaScript execution and unrestricted network access when processing untrusted HTML documents. An attacker could craft malicious HTML that executes arbitrary JavaScript in the rendering context or makes unauthorized network requests to internal services, potentially leading to SSRF attacks, data exfiltration, or remote code execution in the rendering environment.

Patches

Fixed in version 2.91.0. The rendering context now explicitly disables JavaScript execution (java_script_enabled=False) and implements network isolation controls. When enable_remote_fetch is disabled, the browser operates in offline mode, preventing all network requests.

Workarounds

Refrain from using render_page=True when processing untrusted HTML documents.

References

  • Fix release: [v2.91.0](https://github.com/docling-project/docling/releases/tag/v2.91.0)

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is high, an attacker needs no privileges on the target. A user must be tricked into taking some action. The scope is changed, meaning a successful attack can affect components beyond the vulnerable one. Rated impact: confidentiality high, integrity high, availability low.

CVSS metrics in full

The score comes from this vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:L

  • Attack vector: Network — reachable from anywhere that can route to the service.
  • Attack complexity: High — the attacker first has to win a race, learn a secret or otherwise prepare the target.
  • Privileges required: None — an unauthenticated stranger can try it.
  • User interaction: Required — someone has to click, open or visit something.
  • Scope: Changed — a successful attack reaches components beyond the vulnerable one.
  • Confidentiality impact: High — total loss, or loss the attacker controls.
  • Integrity impact: High — total loss, or loss the attacker controls.
  • Availability impact: Low — limited, and the attacker does not choose what is affected.

Weakness class

CVE-2026-44016 is classified as CWE-918: Server-Side Request Forgery (SSRF). The server fetches a URL supplied by the caller, which can be pointed at internal systems it alone can reach.

Affected software

CVE-2026-44016 is recorded against 1 package.

  • docling (from 2.82.0 up to 2.91.0)

Timeline and source

Published on 3 June 2026 and last revised on 20 July 2026. No public exploit is currently recorded for this entry. A vendor advisory or fix has been published. Record sourced from OSV.

References

github.com (Web)
nvd.nist.gov (Advisory)
access.redhat.com (Web)
bugzilla.redhat.com (Web)
github.com (Package)
github.com (Web)
github.com (Web)
security.access.redhat.com (Web)

Other advisories for this package

docling has other advisories on record. If you are patching this one, these are worth checking on the same host:

Same weakness in other software

These advisories are the same class of weakness (CWE-918: Server-Side Request Forgery (SSRF)) in other software:

Details

Severity HIGH
CVSS Score 8.0
CVSS Vector CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:L
CWE CWE-918
Public Exploit ✅ No
Source OSV
Published 2026-06-03
Updated 2026-08-20
Modified 2026-07-20

Affected Packages

Software From version Fixed in
docling 2.82.0 2.91.0

Similar Threats

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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