py-pdf pypdf up to 6.3.x LZWDecode Filter resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in py-pdf pypdf up to 6.3.x. The impacted element is an unknown function of the component LZWDecode Filter. Performing a manipulation results in resource consumption. This vulnerability is cataloged as CVE-2025-66019. It is possible to initiate the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.
Details
A vulnerability classified as problematic has been found in py-pdf pypdf up to 6.3.x. This affects some unknown processing of the component LZWDecode Filter. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:
pypdf is a free and open-source pure-python PDF library. Prior to version 6.4.0, an attacker who uses this vulnerability can craft a PDF which leads to a memory usage of up to 1 GB per stream. This requires parsing the content stream of a page using the LZWDecode filter. This issue has been patched in version 6.4.0.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2025-66019 since 11/21/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
The vulnerability scanner Nessus provides a plugin with the ID 276957 (Linux Distros Unpatched Vulnerability : CVE-2025-66019), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 6.4.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch 96186725e5e6f237129a58a97cd19204a9ce40b2 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the databases at CNNVD (CNNVD-202511-2816), Tenable (276957), EUVD (EUVD-2025-199017) and CERT Bund (WID-SEC-2026-1730). If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Affected
- Xerox FreeFlow Print Server
Product
Vendor
Name
Version
License
Website
- Product: https://github.com/py-pdf/pypdf/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.1
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
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VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Nessus ID: 276957
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-66019
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: pypdf 6.4.0
Patch: 96186725e5e6f237129a58a97cd19204a9ce40b2
Timeline
11/21/2025 CVE reserved11/26/2025 Advisory disclosed
11/26/2025 VulDB entry created
05/31/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-m449-cwjh-6pw7
Status: Confirmed
CVE: CVE-2025-66019 (🔒)
GCVE (CVE): GCVE-0-2025-66019
GCVE (VulDB): GCVE-100-333549
EUVD: 🔒
CERT Bund: WID-SEC-2026-1730 - Xerox FreeFlow Print Server: Mehrere Schwachstellen ermöglichen nicht spezifizierten Angriff
CNNVD: CNNVD-202511-2816 - pypdf 安全漏洞
Entry
Created: 11/26/2025 06:39Updated: 05/31/2026 13:38
Changes: 11/26/2025 06:39 (72), 11/26/2025 15:10 (6), 11/27/2025 10:08 (2), 11/27/2025 11:21 (1), 12/02/2025 22:24 (2), 05/31/2026 13:38 (7)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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