CVE-2026-105748

MEDIUMPre-NVD 4.34.3
EchelonGraph scoreLOW confidence

This medium-severity CVE scores 4.3 under a secondary CVSS source (NVD's own analysis pending). EPSS exploit-prediction score not yet available (the EPSS model rescores nightly; freshly-published CVEs typically appear within 48 hours). GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).

Triggered by: NVD CVSS baseline
Sources: secondary
4.3EG
EchelonGraph verdictMonitorLow exploitation likelihood right now — keep watching.
  • Lower severity and no public exploit yet
CISA-KEV: Not listedEPSS PROB: —CVSS: 4.3Exploit: None knownExposed services: Not assessed

A fix is available — apply it.

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.16.0 until 2.131.0, the InputFormat.JSON_DOCLING backend in docling/backend/json/docling_json_backend.py validates serialized DoclingDocument input without rejecting picture image references that contain local paths or file URIs. When the document is enriched or exported with ImageRefMode.EMBEDDED, the DoclingDocument._with_embedded_pictures and ImageRef.pil_image methods can open those references and place readable image bytes in Markdown or HTML output. Disclosure is limited to files Pillow can decode as images, while differing decode behavior can also reveal whether a path exists. Direct untrusted loading through docling-core is outside this Docling fix. This issue is fixed in 2.131.0.

CVSS v3
4.3
EG Score
4.3MEDIUMlow confidence
EG Risk
24
EG Risk 24/100CISA SSVC

EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).

How it’s computed
Severity43% × 45%
Exploitation0% × 40%
Automatability30% × 15%
CISA SSVC: Track at low or medium mission impact; Track or Attend at high (mission-essential systems).
Action: A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high.
EPSS PROB
—
EPSS %ILE
—
KEV
Not listed

CISA SSVCTrack at low or medium mission impact; Track or Attend at high (mission-essential systems).

A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high.

Exploitation none (no KEV listing, exploit record or EPSS ≥ 50%) · Automatable unknown (not published for this CVE) · Technical impact partial (CVSS below 9.0). Mission impact is CISA's Mission & Well-being decision point, and only you can judge it: high means the affected system is essential to your organisation's mission, or its compromise could cause irreversible harm to people. CISA's decision table

Published

October 5, 2026

Last Modified

October 5, 2026

Advisory Details (4)

Auto-updated Oct 5, 2026
🔬 Proof of concept available. Patch available. Sources: github_pr, github_commit, github_release, github.
github_release Patch Available

Release v2.131.0 (docling-project/docling)

Patch available: docling-project/docling v2.131.0

https://github.com/docling-project/docling/releases/tag/v2.131.0
github_commit Patch Available

commit d4bb776884ab (docling-project/docling)

Patch available: docling-project/docling v2.131.0 (contains commit d4bb776884ab)

https://github.com/docling-project/docling/commit/d4bb776884aba9aa3132f54773f420853cf7afe4
github_pr Patch Available

fix(json): don't load local image files referenced by Docling JSON input

Patch available: docling-project/docling v2.131.0 (PR #4417 merged 2026-09-29)

https://github.com/docling-project/docling/pull/4417
githubMentions a patch (unverified)🟡 PoC Available

Crafted DoclingDocument JSON embeds local image files into converted output · Advisory · docling-project/docling · GitHub

https://github.com/docling-project/docling/security/advisories/GHSA-p944-4xh2-x776

Weakness Classification(2)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 3× in last 7d / 3× in last 30d)

Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.

  1. 2026-10-05 22:20 UTCEG score recompute
  2. 2026-10-05 21:46 UTCEG score recompute
  3. 2026-10-05 21:45 UTCMITRE cvelistV5first tracked

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Frequently asked(4)

What is CVE-2026-105748?
CVE-2026-105748 is a medium vulnerability published on October 5, 2026. Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.16.0 until 2.131.0, the InputFormat.JSONDOCLING backend in docling/backend/json/doclingjsonbackend.py validates serialized DoclingDocument input without rejecting…
When was CVE-2026-105748 disclosed?
CVE-2026-105748 was first published on October 5, 2026. EchelonGraph re-ingests CVE updates from NVD on a 2-hour cycle, so this page reflects the latest published state.
What is the CVSS score of CVE-2026-105748?
CVE-2026-105748 has a CVSS base score of 4.3 (a secondary CVSS source that NVD displays; NVD's own analysis pending). The EG score is currently aggregating — additional source signals are being incorporated as they become available..
How do I remediate CVE-2026-105748?
A fix for CVE-2026-105748 is available: update to the fixed version the vendor names in its advisory.

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