CVE-2026-102999— pypdf: Possible long runtimes with large amount of embedded files
一分钟漏洞结论
影响对象
py-pdf pypdf
利用判断
尚无明确在野利用证据，仍需结合暴露面评估
建议动作
优先检查厂商安全公告和参考链接中的修复版本；无法立即升级时，限制受影响服务暴露并加强监测。
pypdf is a free and open-source pure-python PDF library. Prior to 6.19.0, a crafted PDF containing many embedded files can cause the dictionary-based attachments API in pypdf/_doc_common.py to reparse the full attachment list for each content lookup, producing
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一、 漏洞 CVE-2026-102999 基础信息
漏洞信息
尽管我们使用了先进的大模型技术，但其输出仍可能包含不准确或过时的信息。神龙努力确保数据的准确性，但请您根据实际情况进行核实和判断。
Vulnerability Title
pypdf: Possible long runtimes with large amount of embedded files
来源: CVE Program / CVE List V5
Vulnerability Description
pypdf is a free and open-source pure-python PDF library. Prior to 6.19.0, a crafted PDF containing many embedded files can cause the dictionary-based attachments API in pypdf/_doc_common.py to reparse the full attachment list for each content lookup, producing repeated work and long runtimes when an application accesses the embedded-file mapping. This issue is fixed in version 6.19.0.
来源: 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
来源: CVE Program / CVE List V5
Vulnerability Type
未加控制的资源消耗(资源穷尽)
来源: CVE Program / CVE List V5
受影响产品
二、漏洞 CVE-2026-102999 的公开POC
| # | POC 描述 | 源链接 | 神龙链接 |
|---|
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CVE-2026-102999 其他参考 (4)
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https://github.com/py-pdf/pypdf/pull/4081 x_refsource_MISC
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https://github.com/py-pdf/pypdf/releases/tag/6.19.0 x_refsource_MISC
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https://github.com/py-pdf/pypdf/security/advisories/GHSA-v247-6f48-mgcj x_refsource_CONFIRM
同批安全公告 · py-pdf · 2026-09-30 · 共 8 条
| CVE-2026-102998 | 8.7 HIGH | pypdf: Possible long runtimes when generating appearance streams |
| CVE-2026-102995 | 8.7 HIGH | pypdf: Possible large memory usage for large /ToUnicode streams (Follow-up 2) |
| CVE-2026-102997 | 8.7 HIGH | pypdf: Possible long runtimes for partially malformed FlateDecode streams (Follow-up) |
| CVE-2026-102993 | 8.7 HIGH | pypdf: Possible large memory usage when retrieving Roman page labels |
| CVE-2026-102994 | 8.7 HIGH | pypdf: Possible long runtimes/large memory usage when parsing indirect objects |
| CVE-2026-102996 | 8.7 HIGH | pypdf: Possible large memory usage when parsing font data |
| CVE-2026-103000 | 8.7 HIGH | pypdf: Possible large memory usage when retrieving alphabetical page labels |
IV. Related Vulnerabilities
Same product: pypdf
-
CVE-2026-103000
pypdf: Possible large memory usage when retrieving alphabeti -
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 -
CVE-2026-102995
pypdf: Possible large memory usage for large /ToUnicode stre
Same vendor: py-pdf
-
CVE-2026-103000
pypdf: Possible large memory usage when retrieving alphabeti -
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 -
CVE-2026-102995
pypdf: Possible large memory usage for large /ToUnicode stre
Same weakness: CWE-400
-
CVE-2026-103000
pypdf: Possible large memory usage when retrieving alphabeti -
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 -
CVE-2026-102995
pypdf: Possible large memory usage for large /ToUnicode stre
V. Comments for CVE-2026-102999
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