CVE-2022-32205

Curl vulnerability

CVSS

4.3

EPSS

26.9%

EPSS pct

98th

Exploited

No known

A malicious server can serve excessive amounts of `Set-Cookie:` headers in a HTTP response to curl and curl < 7.84.0 stores all of them. A sufficiently large amount of (big) cookies make subsequent HTTP requests to this, or other servers to which the cookies match, create requests that become larger than the threshold that curl uses internally to avoid sending crazy large requests (1048576 bytes) and instead returns an error.This denial state might remain for as long as the same cookies are kept, match and haven't expired. Due to cookie matching rules, a server on `foo.example.com` can set cookies that also would match for `bar.example.com`, making it it possible for a "sister server" to effectively cause a denial of service for a sibling site on the same second level domain using this method.

Affected vendor

Haxx

Affected product

Curl

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L

Weakness type (CWE)

CWE-770 — Allocation of Resources Without Limits or Throttling

Published

2022-07-07

Risk analysis

Based on its CVSS vector, this vulnerability is exploitable over the network, low attack complexity, requiring no privileges, user interaction. Successful exploitation leads to low impact to availability.

Its EPSS score of 26.9% reflects a moderate probability of exploitation activity in the wild over the next 30 days, placing it above 98% of all scored CVEs.

Check your external exposure to CVE-2022-32205

Confirm whether Haxx Curl is running on any internet-facing host or subdomain.
Match discovered service fingerprints against the version affected by CVE-2022-32205.
Prioritise remediation if the asset is public, business-critical, or near authentication/payment flows.

How ThreatPort helps with CVE-2022-32205

ThreatPort's external attack surface scanner checks your internet-facing assets — agentlessly, from the outside in — for the exposed services and versions that CVE-2022-32205 affects, then prioritises the finding by real risk using CISA KEV and FIRST.org EPSS.

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