CVE-2018-7577
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 · uneditedMemcpy parameter overlap in Google Snappy library 1.1.4, as used in Google TensorFlow before 1.7.1, could result in a crash or read from other parts of process memory.
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 · high confidenceA memcpy parameter overlap vulnerability exists in Google Snappy library 1.1.4, as used in Google TensorFlow before version 1.7.1. When memcpy source and destination buffers overlap, the behavior is undefined and can lead to memory corruption, causing a crash or allowing read from arbitrary memory locations outside the intended buffer boundaries.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data= 1.1.4< 1.7.1CVSS 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
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- Required
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- None
- Availability
- High
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/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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Check TensorFlow versionRun 'python -c "import tensorflow; print(tensorflow.__version__)"' or check your installed TensorFlow package version through pip (pip show tensorflow) or your package managerAffected if TensorFlow version is lower than 1.7.1 (e.g., 1.7.0, 1.6.x, 1.5.x, etc.)
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Identify Snappy library dependencyCheck if your application or TensorFlow package links to the Snappy library by examining dependencies: pip show tensorflow (look for snappy in Requires), or run 'ldd' on TensorFlow shared libraries if using C++ deployment, or check for snappy in pip freeze outputAffected if Snappy library is present as a dependency of TensorFlow or directly used in your environment
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Verify Snappy library versionRun 'python -c "import snappy; print(snappy.__version__)"' if snappy Python binding is installed, or check the installed snappy package version via pip (pip show python-snappy)Affected if Snappy version is exactly 1.1.4
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Check for overlapping memcpy usageReview application code or library usage for calls to snappy::RawUncompress, snappy::Uncompress, or similar decompression functions that internally invoke memcpy on overlapping buffers; this typically requires source code review or runtime debuggingAffected if Your workload uses Snappy decompression functions that process data with overlapping source/destination memory regions
Your environment is affected if TensorFlow version is below 1.7.1, or if Snappy library version 1.1.4 is directly used, and your workload triggers the overlapping memcpy code path during Snappy decompression operations.
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.
From vendor data1.7.1
Upgrade TensorFlow to version 1.7.1 or later which includes a patched version of the Snappy library that properly handles overlapping memory regions in memcpy operations.
- Consultation3.0 h
- Implementation4.0 h
- Testing6.0 h
- Review / QA3.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2018-7577 — 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-2018-7577 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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- Version or environment caveats, and links to real fixes
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