CVE-2026-75883 (GCVE-0-2026-75883)

Vulnerability from cvelistv5 – Published: 2026-09-18 15:29 – Updated: 2026-09-18 15:29
VLAI
Title
PPPD buffer overflow in PEAP response code
Summary
The code in pppd that formats a response to a PEAP Request packet in peap_response() copies an entire TLS record of up to 16384 bytes into the fixed global buffer outpacket_buf without checking the available space and without implementing outgoing PEAP fragmentation. Thus a pppd process connecting to a server which requests PEAP authentication can be induced to corrupt global static data following the outpacket_buf array, most likely causing incorrect behavior or a crash.
Severity
6.8 (Medium)
CVSS:3.1/AV:A/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
CWE
  • CWE-122 - Heap-based buffer overflow
Assigner
References
Impacted products
Vendor Product Version CPE status
PPP Project ppp Affected: 0 , ≤ 2.5.0 (semver)
Unaffected: 2.5.4 (semver)
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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

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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.


Detection rules are retrieved from Rulezet.


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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.