CVE-2026-31826: py-pdf pypdf · Unthrottled Resource Allocation
Affects py-pdf pypdfSource CVE Database V5
Not known to be exploited · CVSS 6.8 Medium : upgrade to 6.8.0 when convenient.
Data as of 29 Oct 2026, 19:04 UTC
- EPSS
- 0.1% chance of exploitation in 30 days – higher than 7% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 6.8.0
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:NExploitation evidence
Disclosed: evidence found.
CVE published 11 Mar 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.
What to do
Upgrade py-pdf pypdf to 6.8.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| py-pdfpypdf | Affected
| Fixed in
|
PyPIpypdfpkg:pypi/pypdfOther threats | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
The primary mitigation is to upgrade all instances of pypdf to version 6.8.0 or later, where the vulnerability is fixed. For environments where immediate upgrade is not feasible, implement strict input validation and sandboxing of PDF processing workflows to isolate resource consumption. Limit the memory and CPU resources available to processes handling PDFs using operating system controls or containerization. Employ network-level controls to block or quarantine suspicious PDF attachments or files from untrusted sources. Monitor application logs and system metrics for unusual memory usage patterns indicative of exploitation attempts. Additionally, consider implementing PDF content scanning tools that detect anomalous or malformed PDF objects, including abnormally large /Length values, to prevent malicious files from reaching vulnerable systems.
Description
### Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing a content stream with a rather large `/Length` value, regardless of the actual data length inside the stream. ### Patches This has been fixed in [pypdf==6.8.0](https://github.com/py-pdf/pypdf/releases/tag/6.8.0). ### Workarounds If you cannot upgrade yet, consider applying the changes from PR [#3675](https://github.com/py-pdf/pypdf/pull/3675). As far as we are aware, this mostly affects reading from buffers of unknown size, as returned by `open("file.pdf", mode="rb")` for example. Passing a file path or a `BytesIO` buffer to *pypdf* instead does not seem to trigger the vulnerability.