CVE-2026-73523 (GCVE-0-2026-73523)
Vulnerability from cvelistv5 – Published: 2026-08-17 18:00 – Updated: 2026-08-17 18:12 X_Open Source
VLAI
EPSS
VEX
Title
COVESA Open1722 0.9.2 Stack Memory Disclosure via acf-can-listener.c Integer Truncation
Summary
COVESA Open1722 through 0.9.2 contains an integer truncation vulnerability in acf-can-listener.c that allows unauthenticated remote attackers to cause the CAN listener to transmit process stack memory onto the CAN bus by sending a rejected UDP datagram with a matching AVTP stream ID. The num_can_msgs variable declared as uint8_t truncates the -1 error return value from avtp_to_can() to 255, causing a write loop to iterate 255 times over a 15-slot stack array and leak approximately 18 KB of adjacent stack memory as roughly 240 CAN frames to any recipient on the CAN bus.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-17 18:12 UTC
CWE
- CWE-197 - Numeric Truncation Error
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/COVESA/Open1722/issues/154 | issue-tracking |
| https://www.vulncheck.com/advisories/covesa-open1… | third-party-advisory |
Impacted products
Date Public
2026-08-13 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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