PYSEC-2026-2968
Vulnerability from pysec - Published: 2026-07-13 14:36 - Updated: 2026-07-13 16:05
VLAI
Details
Improper isolation or compartmentalization in Azure PromptFlow allows an unauthorized attacker to execute code over a network.
Severity
6.5 (Medium)
Impacted products
| Name | purl | promptflow-tools | pkg:pypi/promptflow-tools |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "promptflow-tools",
"purl": "pkg:pypi/promptflow-tools"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.6.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.1.0b1",
"0.1.0b10",
"0.1.0b11",
"0.1.0b12",
"0.1.0b15",
"0.1.0b5",
"0.1.0b6",
"0.1.0b8",
"0.1.0b9",
"1.0.0",
"1.0.1",
"1.0.2",
"1.0.3",
"1.1.0",
"1.2.0",
"1.3.0",
"1.4.0",
"1.5.0"
]
}
],
"aliases": [
"CVE-2025-24986",
"GHSA-gprr-v9f2-px3c"
],
"details": "Improper isolation or compartmentalization in Azure PromptFlow allows an unauthorized attacker to execute code over a network.",
"id": "PYSEC-2026-2968",
"modified": "2026-07-13T16:05:48.415547Z",
"published": "2026-07-13T14:36:33.622100Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-24986"
},
{
"type": "WEB",
"url": "https://github.com/microsoft/promptflow/commit/5f4a41ab4cb15607ade7f26138b0b863b4e4eb0a"
},
{
"type": "WEB",
"url": "https://github.com/microsoft/promptflow/commit/625061724c51533d28fe6e0e3014b1042afdb07f"
},
{
"type": "PACKAGE",
"url": "https://github.com/microsoft/promptflow"
},
{
"type": "WEB",
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-24986"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/promptflow-tools"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-gprr-v9f2-px3c"
}
],
"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": "Azure PromptFlow remote code execution related to Jinja templates"
}
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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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