7.1 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
NONE
Scope
CHANGED
Confidentiality Impact
HIGH
Integrity Impact
LOW
Availability Impact
NONE
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:L/A:N
7.4 High
AI Score
Confidence
High
0.003 Low
EPSS
Percentile
68.2%
Waitress through version 1.3.1 would parse the Transfer-Encoding header and only look for a single string value, if that value was not chunked it would fall through and use the Content-Length header instead. According to the HTTP standard Transfer-Encoding should be a comma separated list, with the inner-most encoding first, followed by any further transfer codings, ending with chunked. Requests sent with: “Transfer-Encoding: gzip, chunked” would incorrectly get ignored, and the request would use a Content-Length header instead to determine the body size of the HTTP message. This could allow for Waitress to treat a single request as multiple requests in the case of HTTP pipelining. This issue is fixed in Waitress 1.4.0.
[
{
"product": "Waitress",
"vendor": "Pylons",
"versions": [
{
"lessThanOrEqual": "1.3.1",
"status": "affected",
"version": "<= 1.3.1",
"versionType": "custom"
}
]
}
]
access.redhat.com/errata/RHSA-2020:0720
docs.pylonsproject.org/projects/waitress/en/latest/#security-fixes
github.com/Pylons/waitress/commit/f11093a6b3240fc26830b6111e826128af7771c3
github.com/Pylons/waitress/security/advisories/GHSA-g2xc-35jw-c63p
lists.debian.org/debian-lts-announce/2022/05/msg00011.html
lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/GVDHR2DNKCNQ7YQXISJ45NT4IQDX3LJ7/
lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/LYEOTGWJZVKPRXX2HBNVIYWCX73QYPM5/
www.oracle.com/security-alerts/cpuapr2022.html
7.1 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
NONE
Scope
CHANGED
Confidentiality Impact
HIGH
Integrity Impact
LOW
Availability Impact
NONE
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:L/A:N
7.4 High
AI Score
Confidence
High
0.003 Low
EPSS
Percentile
68.2%