Local data disclosure via FSFP predictor isolation failure
Published Feb 9, 2022 · Updated May 5, 2025
Improper initialization in some Intel Processors allows local users to disclose data through Fast Store Forwarding Predictor misuse. Missing FSFP cross-domain training isolation lets user-mode or guest software influence higher-privileged prediction and trigger transient-execution gadgets. A malicious program must run on the same logical processor and find a suitable victim gadget; only confidentiality impact is reported.
Summary
What happened
Improper initialization in some Intel Processors allows local users to disclose data through Fast Store Forwarding Predictor misuse. Missing FSFP cross-domain training isolation lets user-mode or guest software influence higher-privileged prediction and trigger transient-execution gadgets. A malicious program must run on the same logical processor and find a suitable victim gadget; only confidentiality impact is reported.
The record
- CVE
- CVE-2021-0145
- Published
- Feb 9, 2022
- Updated
- May 5, 2025
- Vendor
- Topcon Positioning Systems, Inc.
- Product
- Intel Processors
- Classifications
- CWE-665, T1005
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- Feb 9, 2022CVE publishedPublication date reported by the CVE source.
- May 5, 2025Record 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.
- Affected versionversion=See references
What conditions does exploitation require?
What is affected?
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.
Public exploit references
No public exploit references are available in this record.
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo