pypdf: Possible large memory usage when retrieving alphabetical page labels

ImpactAn attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires accessing the page labels of a document with large alphabetical labels. PatchesThis has been fixed in pypdf==6.19.0. WorkaroundsIf you cannot upgrade yet, consider applying the...

pypdf: Possible large memory usage for large /ToUnicode streams (Follow-up 2)

ImpactAn attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires parsing the /ToUnicode entry of a font with unusually large values, for example during text extraction. PatchesThis has been fixed in pypdf==6.18.1. WorkaroundsIf you cannot upgrad...

pypdf: Possible large memory usage when parsing font data

Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires parsing the /Widths entry of a TrueType or Type1 fonts with unusually large values, for example during text extraction. Patches This has been fixed in pypdf==6.18.1. Workarounds I...

BIT-GOLANG-2023-24536 Excessive resource consumption in net/http, net/textproto and mime/multipart

Multipart form parsing can consume large amounts of CPU and memory when processing form inputs containing very large numbers of parts. This stems from several causes: 1. mime/multipart.Reader.ReadForm limits the total memory a parsed multipart form can consume. ReadForm can undercount the amount ...

Internet Bug Bounty: Denial of service in libxml2, using malicious lzma file to consume available system memory

Reported to the libxml2 devs on 23 August 2017 Patched on 7 September 2017 It was discovered through fuzzing that malicious LZMA compressed files could consume large amounts of memory when decompressed thus posing a DoS risk. I am unsure if a CVE will be assigned in this case. od -tx1 ./test000...