CVE-2026-23747 (GCVE-0-2026-23747)
Vulnerability from cvelistv5 – Published: 2026-02-26 17:30 – Updated: 2026-07-14 15:53
VLAI
EPSS
VEX
Title
Golioth Firmware SDK < 0.22.0 Payload Utils Stack-based Buffer Overflow
Summary
Golioth Firmware SDK version 0.10.0 prior to 0.22.0, fixed in commit 48f521b, contain a stack-based buffer overflow in Payload Utils. The golioth_payload_as_int() and golioth_payload_as_float() helpers copy network-supplied payload data into fixed-size stack buffers using memcpy() with a length derived from payload_size. The only length checks are guarded by assert(); in release builds, the asserts are compiled out and memcpy() may copy an unbounded payload_size. Payloads larger than 12 bytes (int) or 32 bytes (float) can overflow the stack, resulting in a crash/denial of service. This is reachable via LightDB State on_payload with a malicious server or MITM.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-27 16:07 UTC
CWE
- CWE-121 - Stack-based Buffer Overflow
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://secmate.dev/disclosures/SECMATE-2025-0015 | technical-description |
| https://blog.secmate.dev/posts/golioth-vulnerabil… | technical-descriptionexploit |
| https://github.com/golioth/golioth-firmware-sdk/r… | release-notes |
| https://github.com/golioth/golioth-firmware-sdk/c… | patch |
| https://www.vulncheck.com/advisories/golioth-firm… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Golioth | Firmware SDK |
Affected:
0.10.0 , < 0.22.0
(semver)
Unaffected: 48f521bcc0187ada2b9cbdad31dc380e6c7b7332 (git) |
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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