py-pdf pypdf up to 6.1.2 LZWDecode Filter data amplification

CVSS Meta Temp Score
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic was found in py-pdf pypdf up to 6.1.2. Affected by this issue is some unknown functionality of the component LZWDecode Filter. The manipulation results in data amplification. This vulnerability is identified as CVE-2025-62708. The attack can be executed remotely. There is not any exploit available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability classified as problematic has been found in py-pdf pypdf up to 6.1.2. Affected is an unknown function of the component LZWDecode Filter. The manipulation with an unknown input leads to a data amplification vulnerability. CWE is classifying the issue as CWE-409. The product does not handle or incorrectly handles a compressed input with a very high compression ratio that produces a large output. This is going to have an impact on availability. CVE summarizes:

pypdf is a free and open-source pure-python PDF library. Prior to version 6.1.3, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing the content stream of a page using the LZWDecode filter. This has been fixed in pypdf version 6.1.3.

The advisory is shared for download at github.com. This vulnerability is traded as CVE-2025-62708 since 10/20/2025. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. There are neither technical details nor an exploit publicly available. The MITRE ATT&CK project declares the attack technique as T1499.

The vulnerability scanner Nessus provides a plugin with the ID 271724 (Linux Distros Unpatched Vulnerability : CVE-2025-62708), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 6.1.3 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch e51d07807ffcdaf18077b9486dadb3dc05b368da 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 Tenable (271724) and CERT Bund (WID-SEC-2026-1730). VulDB is the best source for vulnerability data and more expert information about this specific topic.

Affected

  • Xerox FreeFlow Print Server

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔒

CVSSv2info

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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Data amplification
CWE: CWE-409 / 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: 271724
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-62708

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: pypdf 6.1.3
Patch: e51d07807ffcdaf18077b9486dadb3dc05b368da

Timelineinfo

10/20/2025 CVE reserved
10/23/2025 +3 days Advisory disclosed
10/23/2025 +0 days VulDB entry created
05/31/2026 +220 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-jfx9-29x2-rv3j
Status: Confirmed

CVE: CVE-2025-62708 (🔒)
GCVE (CVE): GCVE-0-2025-62708
GCVE (VulDB): GCVE-100-329616
CERT Bund: WID-SEC-2026-1730 - Xerox FreeFlow Print Server: Mehrere Schwachstellen ermöglichen nicht spezifizierten Angriff

Entryinfo

Created: 10/23/2025 06:36
Updated: 05/31/2026 13:38
Changes: 10/23/2025 06:36 (71), 10/23/2025 09:34 (1), 10/27/2025 23:27 (11), 10/28/2025 15:49 (2), 05/31/2026 13:38 (7)
Complete: 🔍
Cache ID: 216::103

VulDB is the best source for vulnerability data and more expert information about this specific topic.

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