CVE-2022-31042
Published: 10 June 2022
Summary
CVE-2022-31042 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Drupal Drupal. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 18.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-6032
Vulnerability details
Guzzle is an open source PHP HTTP client. In affected versions the `Cookie` headers on requests are sensitive information. On making a request using the `https` scheme to a server which responds with a redirect to a URI with the…
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`http` scheme, or on making a request to a server which responds with a redirect to a a URI to a different host, we should not forward the `Cookie` header on. Prior to this fix, only cookies that were managed by our cookie middleware would be safely removed, and any `Cookie` header manually added to the initial request would not be stripped. We now always strip it, and allow the cookie middleware to re-add any cookies that it deems should be there. Affected Guzzle 7 users should upgrade to Guzzle 7.4.4 as soon as possible. Affected users using any earlier series of Guzzle should upgrade to Guzzle 6.5.7 or 7.4.4. Users unable to upgrade may consider an alternative approach to use your own redirect middleware, rather than ours. If you do not require or expect redirects to be followed, one should simply disable redirects all together.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
The control's identification, isolation, alerting, and eradication steps directly limit the impact and exploitation window of unauthorized sensitive information exposure.
Proper media downgrading process prevents sensitive information from remaining on media that is then accessible to lower-classification recipients.
Policies requiring periodic review and deletion of inaccurate/outdated PII reduce the amount of sensitive information retained and therefore exposed.
Regular deletion of inaccurate or outdated PII directly reduces the volume of sensitive information retained that could be exposed.
De-identification directly prevents exposure of sensitive/PII data to unauthorized actors when datasets are released or shared.
Deleting information when no longer needed directly reduces the window during which sensitive data can be exposed to unauthorized actors.
Secure disposal techniques directly prevent sensitive data from becoming accessible to unauthorized actors after components leave organizational control.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.