pypdf is a free and open-source pure-python PDF library. Prior to version 6.7.4, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing the content stream using the RunLengthDecode filter.
This has been fixed in pypdf 6.7.4. As a workaround, consider applying the changes from PR #3664.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Attack Requirements
None
No additional conditions
Privileges Required
None
No privileges needed
User Interaction
None
No user interaction needed
Impact Assessment
Confidentiality
None
No data leak
Integrity
None
No data modification
Availability
Low
Partial disruption
CVSS Vector v4.0
Weakness Type (CWE)
References 4
https://github.com/py-pdf/pypdf/commit/f309c6003746414dc7b5048c19e6d879ff2dc858
security-advisories@github.com
https://github.com/py-pdf/pypdf/pull/3664
security-advisories@github.com
https://github.com/py-pdf/pypdf/releases/tag/6.7.4
security-advisories@github.com
https://github.com/py-pdf/pypdf/security/advisories/GHSA-f2v5-7jq9-h8cg
security-advisories@github.com