CVE-2025-55197— pypdf's Manipulated FlateDecode streams can exhaust RAM
Quick assessment
Affected
py-pdf pypdf
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.
pypdf是py-pdf开源的一个免费开源的纯 python PDF 库。能够拆分、合并、裁剪和转换 PDF 文件的页面。 pypdf 6.0.0之前版本存在安全漏洞，该漏洞源于恶意PDF可能导致RAM耗尽，影响内容流访问。
Possible ATT&CK Techniques 1 AI
T1496 · Resource Hijacking
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I. Basic Information for CVE-2025-55197
Vulnerability Information
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Vulnerability Title
pypdf's Manipulated FlateDecode streams can exhaust RAM
Source: CVE Program / CVE List V5
Vulnerability 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.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U
Source: CVE Program / CVE List V5
Vulnerability Type
未加控制的资源消耗(资源穷尽)
Source: CVE Program / CVE List V5
Vulnerability Title
pypdf 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
pypdf是py-pdf开源的一个免费开源的纯 python PDF 库。能够拆分、合并、裁剪和转换 PDF 文件的页面。 pypdf 6.0.0之前版本存在安全漏洞，该漏洞源于恶意PDF可能导致RAM耗尽，影响内容流访问。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
II. Public POCs for CVE-2025-55197
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IV. Related Vulnerabilities
Same product: pypdf
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CVE-2026-103000
pypdf: Possible large memory usage when retrieving alphabeti -
CVE-2026-102999
pypdf: Possible long runtimes with large amount of embedded -
CVE-2026-102998
pypdf: Possible long runtimes when generating appearance str -
CVE-2026-102997
pypdf: Possible long runtimes for partially malformed FlateD -
CVE-2026-102996
pypdf: Possible large memory usage when parsing font data
Same vendor: py-pdf
-
CVE-2026-103000
pypdf: Possible large memory usage when retrieving alphabeti -
CVE-2026-102999
pypdf: Possible long runtimes with large amount of embedded -
CVE-2026-102998
pypdf: Possible long runtimes when generating appearance str -
CVE-2026-102997
pypdf: Possible long runtimes for partially malformed FlateD -
CVE-2026-102996
pypdf: Possible large memory usage when parsing font data
Same weakness: CWE-400
-
CVE-2026-103000
pypdf: Possible large memory usage when retrieving alphabeti -
CVE-2026-102999
pypdf: Possible long runtimes with large amount of embedded -
CVE-2026-102998
pypdf: Possible long runtimes when generating appearance str -
CVE-2026-102997
pypdf: Possible long runtimes for partially malformed FlateD -
CVE-2026-102996
pypdf: Possible large memory usage when parsing font data
V. Comments for CVE-2025-55197
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