CyberSecBulletin
CVE-2026-27593NVD status: Analyzed

cms: Weak Password Recovery Mechanism for Forgotten Password

Published Updated By the CyberSecBulletin desk

CVE-2026-27593 is a high-severity weak password recovery mechanism for forgotten password vulnerability in cms from Statamic, with a CVSS 3.1 base score of 8.8 out of 10. It can be exploited remotely over the network by an unauthenticated attacker, but only if a user takes part, for example by opening a link or file. Affected cms versions: < 5.73.10; >= 6.0.0-alpha.1, < 6.3.3. The record does not name a fixed version, so check the vendor advisory. There is no confirmed exploitation so far. EPSS estimates a 0.52% chance of exploitation within 30 days, which is low compared with other CVEs.

Next patch cycle

High severity with no evidence of exploitation so far.

What to do

  1. Update Statamic to 5.73.10 or 6.3.3, whichever matches your release line, or a later version.
  2. Read the advisory on github.com for workarounds and exact fixed builds.
  3. Until you can update, restrict network access to the affected service so it is not reachable from untrusted networks.
  4. Because the attack needs a user to take part, warn users about unexpected links and files related to this product until it is patched.

Affected products and versions

VendorProductAffected versionsFixed in
Statamiccms< 5.73.10; >= 6.0.0-alpha.1, < 6.3.3Not stated
StatamicStatamicbefore 5.73.10; 6.0.0 up to, but not including, 6.3.35.73.10, 6.3.3

Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.

How the severity score breaks down

Attack vector
NetworkCan be exploited remotely over a network, including the internet.
Attack complexity
LowNo special conditions are needed; the attack works reliably.
Privileges required
NoneNo account or login is needed.
User interaction
RequiredA user must take an action such as opening a file or link.
Scope
UnchangedImpact stays within the vulnerable component.
Confidentiality
HighAll data handled by the component can be read.
Integrity
HighData or code can be modified at will.
Availability
HighThe component can be taken down completely.

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. Scored by NVD.

Scoring systemScoreSeverityScored by
CVSS 3.19.3CriticalCNA (github.com)
CVSS 3.18.8HighNVD

Official description

Statmatic is a Laravel and Git powered content management system (CMS). Prior to versions 6.3.3 and 5.73.10, an attacker may leverage a vulnerability in the password reset feature to capture a user's token and reset the password on their behalf. The attacker must know the email address of a valid account on the site, and the actual user must blindly click the link in their email even though they didn't request the reset. This has been fixed in 6.3.3 and 5.73.10.

Source: the CVE record as published by its numbering authority, via NVD and CVE.org.

The underlying weakness: Weak Password Recovery Mechanism for Forgotten Password

The product contains a mechanism for users to recover or change their passwords without knowing the original password, but the mechanism is weak.

How developers prevent this class of flaw

  • Make sure that all input supplied by the user to the password recovery mechanism is thoroughly filtered and validated.
  • Do not use standard weak security questions and use several security questions.
  • Make sure that there is throttling on the number of incorrect answers to a security question. Disable the password recovery functionality after a certain (small) number of incorrect guesses.

More Weak Password Recovery Mechanism for Forgotten Password vulnerabilities (CWE-640)

Timeline

  1. CVE record published.
  2. CISA published its SSVC assessment (exploitation: none, automatable: no, technical impact: partial).
  3. Record last changed materially (score, affected products, status or references).

References

Other vulnerabilities in cms

All cms vulnerabilities

Recent Weak Password Recovery Mechanism for Forgotten Password vulnerabilities

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