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Artifex MuPDF CVE-2026-7233

| EUVDEUVD-2026-26000 LOW
Out-of-bounds Read (CWE-125)
2026-04-28 VulDB
1.9
CVSS 4.0 · Vendor: VulDB
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Obtain local system access as low-privilege user
  2. Delivery
    Craft malicious PDF with CFF font subset data
  3. Exploit
    Submit PDF to vulnerable MuPDF application
  4. Execution
    Trigger CFF parsing via fz_subset_cff_for_gids
  5. Persist
    Out-of-bounds read accesses adjacent memory
  6. Impact
    Disclose sensitive data from application memory

Vulnerability Assessment

Weakness
CWE
ASVS 5.0
V15 - Secure Coding and Architecture Bounds checking, read limits
MITRE ATT&CK

1 technique across 1 tactic: Collection

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Exploitation requires the following concrete prerequisites: (1) Local system access as a low-privilege user account (PR:L in CVSS vector); (2) Ability to provide a malformed PDF document to an application that uses the vulnerable MuPDF library - this may be achieved by uploading a file to a document processing service, emailing a PDF to a recipient, or placing a file in a shared directory; (3) The MuPDF application must attempt to parse or subset CFF font data from the malicious PDF, which occurs automatically during normal PDF rendering unless CFF font handling is explicitly disabled; (4) The vulnerable versions (up to 1.28.0) must be deployed - systems running newer versions (if released) would not be affected. Limiting factors: No remote exploitation possible (AV:L restricts to local-only); no unauthenticated exploitation (PR:L requires valid user account on the system); no user interaction required beyond normal document opening (UI:N); no escalation of privilege needed (attack remains within low-privilege context). The vulnerability does NOT require special configuration settings or non-default deployment modes - standard MuPDF use is sufficient.

Impact

The CVSS 3.3 base score reflects low severity with limited real-world impact: local-only attack vector (AV:L) and requirement for low-privilege user account (PR:L) substantially reduce exploitability compared to network-accessible vulnerabilities. The CVSS vector indicates no integrity or availability impact (I:N/A:N), with confidentiality impact limited to low (C:L), typically meaning disclosure of application-local data rather than system-wide secrets. However, the E:P (exploit PoC publicly available) temporal metric increases practical risk slightly. The EPSS score is not provided, but given the combination of low CVSS and strict local+authenticated prerequisites, real-world exploitation risk appears limited to scenarios where an attacker has already achieved local access and user-level privilege. The unpatched status and public PoC availability create a persistent low-background risk for systems running vulnerable versions, but this is primarily a defense-in-depth concern rather than an urgent critical issue. The information disclosure potential (memory read) could expose application secrets or PDF contents in multi-user systems where privilege isolation is weak.

Exploit ScenarioDerived

An attacker with local user-level access on a multi-user system crafts a malicious PDF file containing specially crafted CFF font subset data that triggers an out-of-bounds read in fz_subset_cff_for_gids. When an application using MuPDF processes this PDF (e.g., via a document service, preview API, or user action), the function reads beyond buffer boundaries and exposes adjacent application memory containing sensitive data such as other users' document content, encryption keys, or application secrets. The attacker retrieves this disclosed information via timing side-channels, crash dumps, or error messages. Publicly available exploit code from the GitHub repository (https://github.com/biniamf/pocs/tree/main/mupdf-cff-indexload-oobread) demonstrates the attack vector.

Monitor Track and reassess. Why: LOW severity (CVSS 0.1-3.9).
No patch listed yet 0.0% exploitation probability (EPSS)

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AnalysisAIv1 – Apr 28, 2026

Out-of-bounds read in Artifex MuPDF up to version 1.28.0 within the CFF Index Handler's fz_subset_cff_for_gids function allows local attackers with low privileges to disclose sensitive information from application memory. The vulnerability requires local access and low privilege level but can be triggered without user interaction; publicly available exploit code exists and the vulnerability remains unpatched as of the last vendor response.

RemediationAI

No vendor-released patch has been identified at the time of analysis, despite early notification to Artifex through bug tracking. Immediate remediation options are: (1) Upgrade MuPDF to a version newer than 1.28.0 if the vendor releases a patched version after this analysis; (2) For applications embedding MuPDF, apply input validation filtering to reject or sanitize CFF font data in untrusted PDF documents before processing; (3) Implement strict privilege separation - ensure MuPDF processes run with minimal required privileges and isolated from sensitive system data; (4) Restrict CFF font parsing to trusted PDF sources only, disabling CFF subset operations for documents from untrusted origins (this may break PDF rendering of certain fonts); (5) Deploy systems so that low-privilege local users cannot access sensitive data in memory shared with MuPDF processes (requires OS-level memory isolation). Monitor Artifex bug tracker (https://bugs.ghostscript.com/show_bug.cgi?id=709328) and GitHub for patched releases. The current lack of vendor response suggests either extended remediation timeline or potential discontinuation of the product line.

Affected VersionsENISA

MuPDF 1.8
MuPDF 1.11
MuPDF 1.26
MuPDF 1.2
MuPDF 1.18
MuPDF 1.27
MuPDF 1.23
MuPDF 1.6
MuPDF 1.24
MuPDF 1.22
MuPDF 1.7
MuPDF 1.12
MuPDF 1.4
MuPDF 1.10
MuPDF 1.9
MuPDF 1.3
MuPDF 1.25
MuPDF 1.17
MuPDF 1.14
MuPDF 1.0
MuPDF 1.13
MuPDF 1.1
MuPDF 1.19
MuPDF 1.16
MuPDF 1.20
MuPDF 1.5
MuPDF 1.15
MuPDF 1.28.0
MuPDF 1.21

Affected Packages

euvd mupdf no fix

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

MuPDF is a lightweight PDF and document viewer library that includes support for parsing Compact Font Format (CFF) font data embedded in PDF files. The CFF Index Handler component processes CFF font subset operations through the fz_subset_cff_for_gids function in subset-cff.c. The vulnerability stems from CWE-125 (Out-of-bounds Read), where the function fails to properly validate array bounds or index calculations when reading CFF font index structures, allowing an attacker to read adjacent memory regions beyond the intended buffer. This is a classic buffer over-read vulnerability in font parsing logic that processes untrusted CFF data from PDF documents.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

Vendor (VulDB) PRIMARY 1.9 LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P

Primary rating from Vendor (VulDB) · only source for this CVE.

CVSS VectorVendor: VulDB

Attack Vector
Local
Attack Complexity
Low
Attack Requirements
None
Privileges Required
Low
User Interaction
None
Vulnerable system: Confidentiality
Low
Vulnerable system: Integrity
None
Vulnerable system: Availability
None
Subsequent system: Confidentiality
None
Subsequent system: Integrity
None
Subsequent system: Availability
None

Lifecycle Timeline

3
PoC Detected
Apr 29, 2026 - 17:15 vuln.today
Public exploit code
CVSS changed
Apr 28, 2026 - 07:22 NVD
3.3 (LOW) 1.9 (LOW)
CVE Published
Apr 28, 2026 - 06:00 nvd
LOW 1.9

DescriptionCVE.org

A vulnerability was determined in Artifex MuPDF up to 1.28.0. The impacted element is the function fz_subset_cff_for_gids of the file subset-cff.c of the component CFF Index Handler. This manipulation causes out-of-bounds read. The attack can only be executed locally. The exploit has been publicly disclosed and may be utilized. The project was informed of the problem early through a bug report but has not responded yet.

Threat Intelligence Overview

EPSS Score
0.0%
Top 98% exploitable
Exploit
POC
Public exploit code exists
Data Quality
7 sources
Confidence: High
EUVD NVD CVE.org EPSS Vulnrichment GitHub VulDB

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity LOW
CISA KEV No
Public POC Yes
EPSS 0.0%
Patch available No
Active threat No
Deciding rule
LOW severity (CVSS 0.1-3.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Defer
Exploitation
Poc
System Exposure· derived
Small
Automatable
No
Human Impact· derived
Low
Technical Impact
Partial

Priority Score

30
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +10
PoC: +20
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

A buffer overflow occurs when a program writes more data to a memory buffer than it was allocated to hold, causing the excess data to spill into adjacent memory regions.

Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.

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