Skip to main content
VulnerabilityPublished Updated

CVE-2026-11702: DAVIDO Bytes::Random::Secure::Tiny · PRNG

Affects DAVIDO Bytes::Random::Secure::TinySource CVE Database V5

0
Compare

Not known to be exploited · CVSS 7.5 High.

Data as of 8 Nov 2026, 23:24 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 43% 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 26 Jun 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 8 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
DAVIDOBytes::Random::Secure::TinyAffected
  • <=1.011
Fixed in–
GitHubBytes-Random-Secure-Tinypkg:github/Bytes-Random-Secure-TinyOther threatsAffected
  • <=1.011
Fixed in–

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

AI-suggested

Until an official fix is available, users should avoid initializing the PRNG object before forking processes or reinitialize the PRNG state after forking to ensure unique random streams per process. Review application design to prevent sharing PRNG state across forks.

Description

Bytes::Random::Secure::Tiny versions through 1.011 for Perl share internal state across forked processes. When an object is initialised before forking, then the internal state for the PRNG is shared across processes and identical random streams will be produced. Secrets generated in multiprocess applications are predictable across processes.

References

Community reviews

Loading reviews…