GHSA-GPWR-RGPW-7W8Q
Vulnerability from github – Published: 2026-08-19 15:32 – Updated: 2026-08-19 15:32
VLAI
Details
The Ingenic T31 SoC boot ROM flash-boot verification path compares only a single 32-bit word of the RSA signature output against a single 32-bit word of the SHA-256 payload digest, rather than compare the full data. This allows an attacker with physical write access to boot media to forge modified SPL (Secondary Program Loader) images that pass secure boot verification without possession of the OEM signing key. Each forgery attempt succeeds with approximately 2/3 probability. This has been validated via reverse engineering, software emulation against vendor-signed images, and end-to-end hardware acceptance of a forged firmware image on a Wyze Video Doorbell v2 (T31X).
{
"affected": [],
"aliases": [
"CVE-2026-50720"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-19T14:17:32Z",
"severity": null
},
"details": "The Ingenic T31 SoC boot ROM flash-boot verification path compares only a single 32-bit word of the RSA signature output against a single 32-bit word of the SHA-256 payload digest, rather than compare the full data. This allows an attacker with physical write access to boot media to forge modified SPL (Secondary Program Loader) images that pass secure boot verification without possession of the OEM signing key. Each forgery attempt succeeds with approximately 2/3 probability. This has been validated via reverse engineering, software emulation against vendor-signed images, and end-to-end hardware acceptance of a forged firmware image on a Wyze Video Doorbell v2 (T31X).",
"id": "GHSA-gpwr-rgpw-7w8q",
"modified": "2026-08-19T15:32:26Z",
"published": "2026-08-19T15:32:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-50720"
},
{
"type": "WEB",
"url": "https://opensensor.io/security/ingenic-t31-bootrom-partial-verification"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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