GHSA-M3Q7-8JJF-CMCW
Vulnerability from github – Published: 2026-09-26 03:30 – Updated: 2026-09-26 03:30
VLAI
Details
Ghidra versions through 12.1.4 contain a stack-based out-of-bounds write vulnerability in the decompiler's leftshift128 function when processing negative shift amounts from p-code. Attackers can craft malicious binaries with specific instruction sequences that trigger the overflow when decompiled, corrupting memory and potentially achieving code execution.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-100504"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-26T01:17:00Z",
"severity": "HIGH"
},
"details": "Ghidra versions through 12.1.4 contain a stack-based out-of-bounds write vulnerability in the decompiler\u0027s leftshift128 function when processing negative shift amounts from p-code. Attackers can craft malicious binaries with specific instruction sequences that trigger the overflow when decompiled, corrupting memory and potentially achieving code execution.",
"id": "GHSA-m3q7-8jjf-cmcw",
"modified": "2026-09-26T03:30:22Z",
"published": "2026-09-26T03:30:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-100504"
},
{
"type": "WEB",
"url": "https://github.com/NationalSecurityAgency/ghidra/commit/6babe3c1cec7f5ec920dd16cdc86a02893e5b33c"
},
{
"type": "WEB",
"url": "https://github.com/NationalSecurityAgency/ghidra"
},
{
"type": "WEB",
"url": "https://github.com/NationalSecurityAgency/ghidra/blob/8b6bbb857accdfa20dc5b2f5dea471178c2e9fbc/Ghidra/Features/Decompiler/src/decompile/cpp/multiprecision.cc#L29-L61"
},
{
"type": "WEB",
"url": "https://github.com/NationalSecurityAgency/ghidra/blob/8b6bbb857accdfa20dc5b2f5dea471178c2e9fbc/Ghidra/Features/Decompiler/src/decompile/cpp/ruleaction.cc#L7848-L7878"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/ghidra-through-12.1.4-stack-based-buffer-overflow-via-leftshift128"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
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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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