CVE-2026-42804 (GCVE-0-2026-42804)
Vulnerability from cvelistv5 – Published: 2026-09-10 08:56 – Updated: 2026-09-10 15:01
VLAI
EPSS
VEX
Summary
A stack-based buffer overflow vulnerability exists in the Bosch Sensortec BHI360 SensorAPI(C-Library) in versions up to and including commit d6b200416a.
The vulnerability is located within the FIFO parsing and debug logging subsystem inside the function bhi360_parse_debug_message() in bhi360_parse.c (lines 1852-1875).
The parser trusts the first payload byte of a debug frame as the message length (msg_length) and copies that many bytes into a fixed-size 17-byte stack buffer (debug_msg) via memcpy without performing any bounds checking.
A locally or physically positioned attacker (e.g., via a malicious sensor, counterfeit hardware module, or a Man-in-the-Middle on the communication bus) can exploit this vulnerability by injecting a crafted debug frame with a length byte exceeding 16.
This corrupts adjacent stack data, including the saved return address.
Furthermore, because the overflowed buffer is subsequently passed to a printf-style logging sink, the attacker can supply format string specifiers (e.g., %n) to execute arbitrary code on the host microcontroller/SoC or cause a reliable system crash (Denial of Service).
Severity
7.6 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-10 15:01 UTC
CWE
- CWE-121 - Stack-based Buffer Overflow
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://psirt.bosch.com/security-advisories/BOSCH… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Bosch Sensortec | BHI360_SensorAPI (C-Library) |
Affected:
2.1.0 , ≤ 2.2.0
(custom)
|
guessed |
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.
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