CVE-2026-27888— pypdf: Manipulated FlateDecode XFA 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 6.7.3之前版本存在资源管理错误漏洞，该漏洞源于特制PDF文件可导致内存耗尽。
Possible ATT&CK Techniques 1 AI
T1496 · Resource Hijacking
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I. Basic Information for CVE-2026-27888
Vulnerability Information
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Vulnerability Title
pypdf: Manipulated FlateDecode XFA 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 6.7.3, an attacker who uses this vulnerability can craft a PDF which leads to the RAM being exhausted. This requires accessing the `xfa` property of a reader or writer and the corresponding stream being compressed using `/FlateDecode`. This has been fixed in pypdf 6.7.3. As a workaround, apply the patch manually.
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 资源管理错误漏洞
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 6.7.3之前版本存在资源管理错误漏洞，该漏洞源于特制PDF文件可导致内存耗尽。
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-2026-27888
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IV. Related Vulnerabilities
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Same vendor: py-pdf
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CVE-2026-103000
pypdf: Possible large memory usage when retrieving alphabeti -
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pypdf: Possible long runtimes with large amount of embedded -
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pypdf: Possible long runtimes when generating appearance str -
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pypdf: Possible long runtimes for partially malformed FlateD -
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pypdf: Possible large memory usage when parsing font data
Same weakness: CWE-400
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V. Comments for CVE-2026-27888
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