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CVE Record

CVE-2018-7577: Memcpy parameter overlap in Google Snappy library 1.1.4, as used in Google TensorFlow before 1.7.1, could r...

Memcpy 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.

UnknownCVSS not scoredNot KEV-listedUpdated
Glexia's TakeAutomated analysisunknown

Security readout for executives and security teams

Plain-English summary

This issue affects Google Snappy 1.1.4 as used in TensorFlow before 1.7.1. A memory-copy overlap bug could crash the process or expose other process memory. The public record does not provide severity scoring or evidence of active exploitation.

Executive priority

Treat this as a targeted legacy dependency cleanup item. Prioritize remediation where old TensorFlow handles sensitive or externally supplied data, but do not classify it as actively exploited based on the supplied evidence.

Technical view

CVE-2018-7577 describes overlapping memcpy parameters in Google Snappy 1.1.4 within TensorFlow before 1.7.1. The documented impact is denial of service via crash or unintended reads from other process memory. The sources do not provide CVSS, CWE, exploit details, or broader affected product mapping.

Likely exposure

Exposure is most likely in environments running TensorFlow before 1.7.1 with the affected bundled Snappy code. The source bundle does not identify affected CPEs, deployment patterns, or whether standalone Snappy use is in scope beyond the TensorFlow reference.

Exploitation context

The CVE is not listed as KEV in the supplied data, and no cited source states active exploitation. The public details only describe the bug class and impact, not practical exploitability, prerequisites, or attack surface.

Researcher notes

The available record is sparse: no CVSS, CWE, exploit status, or detailed affected matrix is provided. Analysis should stay anchored to TensorFlow before 1.7.1 and Snappy 1.1.4 unless additional vendor evidence expands scope.

Mitigation direction

  • Upgrade TensorFlow deployments before 1.7.1 to 1.7.1 or later.
  • Review the TensorFlow security advisory for vendor-specific remediation details.
  • Inventory applications that bundle Google Snappy 1.1.4 with TensorFlow.
  • Restrict untrusted data processing paths until affected deployments are remediated.

Validation and detection

  • Identify TensorFlow versions in production, CI, notebooks, containers, and model-serving images.
  • Check dependency manifests and built artifacts for Google Snappy 1.1.4.
  • Confirm upgraded systems no longer use TensorFlow versions before 1.7.1.
  • Review crash logs for unexplained TensorFlow or Snappy process failures.
Prepared
Confidence
medium
Sources
3

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

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CVE-2018-7577 mapping review

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Vulnerability profileCVE Program record
Severity
Unknown
CVSS
Not scored
Known Exploited
No
Published
Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

0CVSS vectors
0Timeline events
0ADP providers
2Source links

CVSS and timeline data

No CVSS vectors or timeline events were available in the normalized CVE source material.

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
n/an/an/aListed
Weakness

CWE details

No CWE listed

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.