PatchSiren cyber security CVE debrief
CVE-2026-33123 py-pdf CVE debrief
CVE-2026-33123 is a vulnerability in the pypdf library that allows an attacker to craft a malicious PDF, leading to long runtimes and/or large memory usage. The issue has been fixed in version 6.9.1. This vulnerability can be exploited by accessing an array-based stream with many entries, which can cause performance issues and increased memory usage. Defenders should assess exposure and prioritize upgrading to version 6.9.1 or later to prevent potential denial-of-service attacks. The vulnerability has a CVSS score of 5.1 and a severity of MEDIUM.
- Vendor
- py-pdf
- Product
- pypdf
- CVSS
- MEDIUM 5.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-03-20
- Original CVE updated
- 2026-11-02
- Advisory published
- 2026-03-20
- Advisory updated
- 2026-11-02
Who should care
Defenders responsible for systems using the pypdf library should assess exposure and prioritize upgrading to version 6.9.1 or later. This includes operators, platform administrators, vulnerability management teams, and security teams who need to review and update affected systems to prevent potential denial-of-service attacks.
Why it matters
Defenders should prioritize upgrading to version 6.9.1 or later to prevent potential denial-of-service attacks. The vulnerability allows an attacker to craft a malicious PDF leading to long runtimes and/or large memory usage.
- Potential denial-of-service attacks through malicious PDFs
- Increased memory usage and long runtimes
Technical summary
The pypdf library is vulnerable to a denial-of-service attack when processing malicious PDFs. The issue is fixed in version 6.9.1. The vulnerability allows an attacker to craft a malicious PDF leading to long runtimes and/or large memory usage. This can be achieved by accessing an array-based stream with many entries, which can cause performance issues and increased memory usage. Defenders should prioritize upgrading to version 6.9.1 or later to prevent potential denial-of-service attacks. The vulnerability has a CVSS score of 5.1 and a severity of MEDIUM.
Defensive priority
Defenders should prioritize upgrading to version 6.9.1 or later to prevent potential denial-of-service attacks.
Recommended defensive actions
- Upgrade to version 6.9.1 or later
- Review and update affected systems
- Monitor for potential denial-of-service attacks
- Review compensating controls for exposed systems
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and NVD entry provide information on the vulnerability, its impact, and the fixed version. The vulnerability affects the pypdf library, which is a free and open-source pure-python PDF library. The issue has been reported and verified through various sources, including the CVE Program and NVD. However, the exact scope of affected systems and potential impact on defenders is not fully known and requires further verification.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-33123 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-33123
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-33123 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-33123
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/py-pdf/pypdf/pull/3686
[email protected] - Issue Tracking, Patch
-
Source reference
Unverified legacy reference
URL: https://github.com/py-pdf/pypdf/releases/tag/6.9.1
[email protected] - Product, Release Notes
-
Source reference
Unverified legacy reference
URL: https://github.com/py-pdf/pypdf/security/advisories/GHSA-qpxp-75px-xjcp
[email protected] - Patch, Vendor Advisory
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.