EUVD-2026-84998
GHSA-vmf3-6q95-pmx3
Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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
pickle.load on attacker-supplied data yields arbitrary code execution (C/I/A High); no auth to call the library helper (PR:N), but victim must load the malicious file (UI:R).
Primary rating from Vendor (VulDB).
CVSS VectorVendor: VulDB
Lifecycle Timeline
5DescriptionCVE.org
A security flaw has been discovered in recommenders-team recommenders up to 1.2.1. This impacts the function pickle.load of the file recommenders/models/newsrec/io/mind_iterator.py of the component Dict Loading. Performing a manipulation results in deserialization. It is possible to initiate the attack remotely. The exploit has been released to the public and may be used for attacks. The project was informed of the problem early through an issue report but has not responded yet.
AnalysisAI
Deserialization of untrusted data in Microsoft Recommenders (recommenders-team/recommenders) up to and including version 1.2.1 lets an attacker who supplies a crafted MIND dictionary or vocabulary artifact execute arbitrary code when the newsrec iterator at recommenders/models/newsrec/io/mind_iterator.py calls pickle.load. The issue is gated on user interaction rather than a listening service: a developer or automated training pipeline must deliberately point the MIND iterator at the poisoned serialized dict, which is why the vendor's CVSS 4.0 rating is only 5.1/PR:L/UI:P while the independent assessment rates it CVSS:3.1 AV:N/AC:L/PR:N/UI:R with C:H/I:H/A:H. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires the victim to load an attacker-controlled pickle file through the newsrec MIND iterator's Dict Loading path (recommenders/models/newsrec/io/mind_iterator.py calling pickle.load) in recommenders-team recommenders <= 1.2.1. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | This is a classic VulDB-style pickle-deserialization report in an ML library where the raw CVSS understates the true technical impact. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | Full exploit scenario with step-by-step reproduction available after sign-in. |
| Remediation | No vendor-released patch has been identified at time of analysis, and the upstream project has not responded to the issue report, so remediation must currently rely on compensating controls. … Detailed patch versions, workarounds, and compensating controls in full report. |
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Same weakness CWE-502 – Deserialization of Untrusted Data
View allSame technique Deserialization
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External POC / Exploit Code
Leaving vuln.today