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VulnerabilityPublished Updated

CVE-2025-70949: couch-auth · Timing Side Channel

Affects couch-authSource CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 33% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 5 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
npm@perfood/couch-authpkg:npm/@perfood/couch-authOther threatsAffected
  • =0.26.0
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

To mitigate CVE-2025-70949, organizations should first monitor for updates or patches from the @perfood/couch-auth maintainers and apply them promptly once available. In the interim, developers should review and refactor authentication code to use constant-time comparison functions for secret data verification, eliminating timing discrepancies. Employing cryptographic libraries designed to resist timing attacks is recommended. Implement network-level protections such as rate limiting, anomaly detection, and request throttling to hinder attackers from performing extensive timing measurements. Where feasible, introduce artificial response delays or jitter to obscure timing patterns, though this is a less reliable mitigation. Conduct thorough code audits of authentication and cryptographic routines to identify and fix similar side-channel vulnerabilities. Additionally, segregate sensitive authentication services behind internal networks or VPNs to reduce exposure. Educate developers about side-channel attack risks and secure coding practices. Finally, maintain comprehensive logging and alerting to detect suspicious access patterns indicative of timing attack attempts.

Description

An observable timing discrepancy in @perfood/couch-auth v0.26.0 allows attackers to access sensitive information via a timing side-channel.

References

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