CVE-2026-19396 (GCVE-0-2026-19396)

Vulnerability from cvelistv5 – Published: 2026-10-07 02:07 – Updated: 2026-10-07 02:07
VLAI
Summary
A predictable seed in the pseudo-random number generator (PRNG) in the IFTTT pairing token generation of the ASUS RT-BE57 router allows an unauthenticated nearby user to derive the pairing token and read or modify router settings via observed values from an administrator-initiated IFTTT pairing session.Refer to the ' Security Update for ASUS Router Firmware  ' section on the ASUS Security Advisory for more information.
Severity
7.7 (High)
CVSS:4.0/AV:A/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
CWE
  • CWE-337 - Predictable Seed in Pseudo-Random Number Generator (PRNG)
Assigner
References
Impacted products
Vendor Product Version CPE status
ASUS Router Affected: 3.0.0.6_102 series (custom)
    cpe:2.3:a:asus:router:3.0.0.6_102_series:*:*:*:*:*:*:*
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.