PYSEC-2026-2668
Vulnerability from pysec - Published: 2026-07-13 14:36 - Updated: 2026-07-13 16:04
VLAI
Details
A Command Injection vulnerability in ModelScope's MS-Agent versions v1.6.0rc1 and earlier exists, allowing an attacker to execute arbitrary operating system commands through crafted prompt-derived input.
Severity
6.5 (Medium)
Impacted products
| Name | purl | ms-agent | pkg:pypi/ms-agent |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "ms-agent",
"purl": "pkg:pypi/ms-agent"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "1.6.0rc1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.0",
"1.0.0",
"1.0.0rc0",
"1.0.1rc0",
"1.1.0",
"1.1.1",
"1.1.2",
"1.2.0",
"1.3.0",
"1.4.0",
"1.5.0",
"1.5.1",
"1.5.2",
"1.6.0rc0",
"1.6.0rc1"
]
}
],
"aliases": [
"CVE-2026-2256",
"GHSA-4gc2-344q-r2rw"
],
"details": "A Command Injection vulnerability in ModelScope\u0027s MS-Agent versions v1.6.0rc1 and earlier exists, allowing an attacker to execute arbitrary operating system commands through crafted prompt-derived input.",
"id": "PYSEC-2026-2668",
"modified": "2026-07-13T16:04:59.724764Z",
"published": "2026-07-13T14:36:40.119155Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-2256"
},
{
"type": "WEB",
"url": "https://github.com/Itamar-Yochpaz/CVE-2026-2256-PoC"
},
{
"type": "PACKAGE",
"url": "https://github.com/modelscope/ms-agent"
},
{
"type": "WEB",
"url": "https://medium.com/@itamar.yochpaz/cve-2026-2256-from-ai-prompt-to-full-system-compromise-a4114c718326"
},
{
"type": "WEB",
"url": "https://www.hiddenlayer.com/research/indirect-prompt-injection-of-claude-computer-use"
},
{
"type": "WEB",
"url": "https://www.kb.cert.org/vuls/id/431821"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/ms-agent"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-4gc2-344q-r2rw"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "MS-Agent vulnerable to Command Injection"
}
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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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