CVE-2025-55197
7.5 · HIGHOverview
CVE-2025-55197 is a high-severity vulnerability affecting pypdf_project pypdf. It was published on August 13, 2025 and has a CVSS 3.1 base score of 7.5 (HIGH).
This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
pypdf is a free and open-source pure-python PDF library. Prior to version 6.0.0, an attacker can craft a PDF which leads to the RAM being exhausted. This requires just reading the file if a series of FlateDecode filters is used on a malicious cross-reference stream. Other content streams are affected on explicit access. This issue has been fixed in 6.0.0. If an update is not possible, a workaround involves including the fixed code from pypdf.filters.decompress into the existing filters file.
Remediation
Check the references section for vendor advisories and patches from pypdf_project. Update pypdf to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| pypdf_project | pypdf | >= 0, < 6.0.0 | Affected |
References
Frequently Asked Questions
What is CVE-2025-55197?
CVE-2025-55197 is a high-severity vulnerability affecting pypdf_project pypdf. It was published on August 13, 2025 and has a CVSS 3.1 base score of 7.5 (HIGH).
How severe is CVE-2025-55197?
This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2025-55197?
Check the references section for vendor advisories and patches from pypdf_project. Update pypdf to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2025-55197?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-55197 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
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