CVE-2026-102995— pypdf: Possible large memory usage for large /ToUnicode streams (Follow-up 2)
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 是一个免费且开源的纯 Python PDF 处理库。在 6.18.1 版本之前，经过恶意构造的 PDF 文件可以在字体的 /ToUnicode 映射中放置异常大的源代码（source-code）或目标字符串（destination-string）令牌，导致 pypdf/_cmap.py 中的 parse_bfchar 函数在文本提取等操作过程中解码并保留这些超大值，从而消耗过量内存。该问题是此前针对 /ToUnicode 资源消耗漏洞修复工作的第二次后续跟进，仅涉及剩余的令牌长度处理路径。此问题已在 6
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一、 漏洞 CVE-2026-102995 基础信息
漏洞信息
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Vulnerability Title
pypdf: Possible large memory usage for large /ToUnicode streams (Follow-up 2)
来源: CVE Program / CVE List V5
Vulnerability Description
pypdf is a free and open-source pure-python PDF library. Prior to 6.18.1, a crafted PDF can place unusually large source-code or destination-string tokens in a font /ToUnicode mapping, causing pypdf/_cmap.py parse_bfchar to decode and retain oversized values during operations such as text extraction and consume excessive memory. This is a second follow-up to earlier /ToUnicode resource-consumption fixes and is limited to the remaining token-length path. This issue is fixed in version 6.18.1.
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-2026-102995 的公开POC
| # | POC 描述 | 源链接 | 神龙链接 |
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CVE-2026-102995 其他参考 (4)
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https://github.com/py-pdf/pypdf/pull/4071 x_refsource_MISC
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https://github.com/py-pdf/pypdf/releases/tag/6.18.1 x_refsource_MISC
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https://github.com/py-pdf/pypdf/security/advisories/GHSA-fp3h-c4fm-7vvf 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-2026-102997 | 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-2026-102999 | 8.7 HIGH | pypdf: Possible long runtimes with large amount of embedded files |
| 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-2026-102999
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-2026-102995
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