CVE-2024-28028
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedImproper input validation in some Intel(R) Neural Compressor software before version v3.0 may allow an unauthenticated user to potentially enable escalation of privilege via adjacent access.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · moderate confidenceIntel Neural Compressor before version v3.0 contains improper input validation that allows an unauthenticated attacker with adjacent network access to potentially escalate privileges. The vulnerability stems from insufficient validation of input data, likely in a component that processes external data or network requests.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Adjacent
- Complexity
- High
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:A/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Identify installed Intel Neural Compressor versionRun 'pip show intel-neural-compressor' or check the package version in your Python environment. If using a different installation method, locate the package directory and read the version metadata file.Affected if The reported version is any release prior to v3.0 (for example, v2.x, v1.x)
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Determine if network-serving components are activeSearch for configuration files, scripts, or services that start HTTP servers, APIs, or network listeners related to Intel Neural Compressor. Look for terms like 'server', 'api', 'serve', 'rest', 'grpc', or 'http' in config files and startup scripts.Affected if Any network-listening component of Intel Neural Compressor is enabled and bound to a reachable IP address
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Inspect exposed endpoints or data ingestion pointsReview any exposed URLs, ports, or endpoints where the software accepts external input. Check configuration files for settings like 'host', 'port', 'bind', or input processing paths.Affected if The software exposes network endpoints that accept unauthenticated external input or data
You are affected if your Intel Neural Compressor installation is any version before v3.0 AND the software has network-facing components or exposed input ingestion points that can be reached by adjacent attackers.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scopedUpgrade Intel Neural Compressor to version v3.0 or later. If upgrading is not immediately feasible, restrict network access to the affected system to limit adjacent attack surface and implement additional input sanitization at network boundaries.
Intel Neural Compressor v3.0
- 1. Identify the current Intel Neural Compressor installation by checking the installed version (e.g., pip show neural-compressor or checking the Python package version)
- 2. Back up any existing configurations, models, or data used with the current Intel Neural Compressor installation
- 3. Upgrade to version v3.0 or later using the appropriate package manager (e.g., pip install neural-compressor==3.0 or pip install --upgrade neural-compressor)
- 4. Verify the installation was successful by checking the new version number
- 5. Test that existing workflows and models function correctly with the upgraded version
- 6. Monitor for any runtime errors or regressions that may require configuration adjustments
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation4.0 h
- Testing4.0 h
- Review / QA2.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2024-28028 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2024-28028 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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