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VulnerabilityPublished Updated

CVE-2026-27695: zeroae zae-limiter · Unthrottled Resource Allocation

Affects zeroae zae-limiterSource CVE Database V5

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Not known to be exploited · CVSS 4.3 Medium : upgrade to 0.10.1 when convenient.

Data as of 30 Oct 2026, 06:59 UTC

CVSS 3.1 base score
4.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 18% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.10.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 25 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: 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 29 Oct 2026.

What to do

Upgrade zae-limiter and zeroae/zae-limiter to 0.10.1.

Affected software

ProductAffectedFixed in
zeroaezae-limiterAffected
  • <0.10.1
Fixed in
  • 0.10.1
GitHubzeroae/zae-limiterpkg:github/zeroae/zae-limiterOther threatsAffected
  • <0.10.1
Fixed in
  • 0.10.1

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

AI-suggested

The most effective mitigation is to upgrade zae-limiter to version 0.10.1 or later, which implements a partition key strategy that distributes rate limit buckets to avoid DynamoDB throughput bottlenecks. Until upgrading is possible, organizations should monitor DynamoDB partition-level metrics closely to detect throttling events and identify high-traffic entities causing excessive load. Implementing additional application-level rate limiting or traffic shaping upstream can reduce the risk of overwhelming partitions. Consider isolating high-traffic entities into separate namespaces or partitions manually if feasible. Review and optimize DynamoDB table capacity settings, including provisioned throughput or on-demand capacity modes, to better handle peak loads. Employ alerting for throttling and latency anomalies to enable rapid response. Finally, conduct load testing to understand traffic patterns and validate that rate limiting configurations do not cause unintended service degradation.

Description

zae-limiter is a rate limiting library using the token bucket algorithm. Prior to version 0.10.1, all rate limit buckets for a single entity share the same DynamoDB partition key (`namespace/ENTITY#{id}`). A high-traffic entity can exceed DynamoDB's per-partition throughput limits (~1,000 WCU/sec), causing throttling that degrades service for that entity — and potentially co-located entities in the same partition. Version 0.10.1 fixes the issue.

References

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