CVE-2026-95928Public exploitNetwork attack vector

Code execution via untrusted pickle deserialization

Published Sep 23, 2026 · Updated Sep 23, 2026

Unsafe deserialization in LF AI & Data Foundation Recommenders 1.2.0 and 1.2.1 allows remote authenticated users to execute code via crafted pickle files. MINDIterator.load_dict opens each configured news-recommendation dictionary file and passes its contents directly to pickle.load without establishing that the pickle is trusted. Execution requires an attacker-controlled dictionary to be supplied to a user who instantiates the iterator, and the payload runs with the Python process's privileges.

CVSS severityUnavailable
Unscored
EPSS probability0.19%
Next 30 days · Oct 19, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Unsafe deserialization in LF AI & Data Foundation Recommenders 1.2.0 and 1.2.1 allows remote authenticated users to execute code via crafted pickle files. MINDIterator.load_dict opens each configured news-recommendation dictionary file and passes its contents directly to pickle.load without establishing that the pickle is trusted. Execution requires an attacker-controlled dictionary to be supplied to a user who instantiates the iterator, and the payload runs with the Python process's privileges.

The record

CVE
CVE-2026-95928
Published
Sep 23, 2026
Updated
Sep 23, 2026
Vendor
LF AI & Data Foundation
Product
Recommenders
Classifications
CWE-502, CWE-20, T1204.002
Attack vector
network
Privileges
authenticated

Timeline

How it unfolded

  1. Sep 23, 2026CVE publishedPublication date reported by the CVE source.
  2. Sep 23, 2026Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

Compare your product and version with the public record. A matching version still requires validation against your environment.

Is a vulnerable build present?

Compare these published version ranges with your installed build and any vendor patches.

  1. Affected versionversion=1.2.0
  2. Affected versionversion=1.2.1

What conditions does exploitation require?

Attack vectornetwork
Required privilegesauthenticated

What is affected?

LF AI & Data Foundation · Recommendersversion=1.2.0; version=1.2.1

Published CVSS scores

5.5VulDBCVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R
5.5VulDBCVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R
6.5VulDBAV:N/AC:L/Au:S/C:P/I:P/A:P/E:POC/RL:ND/RC:UR
5.1VulDBCVSS: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

CVSS describes severity. EPSS estimates exploitation probability.

Attacks

What attackers are doing with it

Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.

Activity data is delayed. The latest report is Sep 28, 2026.

Daily unique IPsNo honeypot observations are available for this CVE in the selected window.

No observations available

Sep 22, 2026Sep 28, 2026
Latest reporting daySep 28, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectornetwork
Privilegesauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

CWE-502Deserialization of Untrusted Data
CWE-20Improper Input Validation
T1204.002Malicious File

Public exploit references

Labels summarize the accepted research assessment. They do not indicate a test against your environment.

Technologies

Your stack

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Your stack

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