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CVE Record

CVE-2018-10971: An issue was discovered in Free Lossless Image Format (FLIF) 0.3.

An issue was discovered in Free Lossless Image Format (FLIF) 0.3. The Plane function in image/image.hpp allows remote attackers to cause a denial of service (attempted excessive memory allocation) via a crafted file.

UnknownCVSS not scoredNot KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

CVE-2018-10971 is a denial-of-service issue in FLIF 0.3. A specially crafted FLIF image can make the decoder attempt excessive memory allocation, potentially crashing or disrupting services that process untrusted FLIF files.

Executive priority

Treat as a targeted availability risk, not a broad enterprise emergency. Prioritize review if public-facing services process uncommon image formats or if image conversion failures could disrupt customer-facing workflows.

Technical view

The CVE description identifies the Plane function in image/image.hpp in Free Lossless Image Format 0.3 as the affected code path. The documented impact is attempted excessive memory allocation from a crafted file, causing denial of service. No CVSS, CWE, patch, or concrete CPE data is provided in the source bundle.

Likely exposure

Exposure is likely limited to systems that use FLIF 0.3 or embed its decoder for user-supplied image processing, conversion, previewing, or archival workflows. Organizations without FLIF handling are unlikely to be affected.

Exploitation context

The sources support remote denial of service via a crafted file. There is no CISA KEV listing and no cited evidence of active exploitation in the provided bundle.

Researcher notes

Evidence is sparse. The record names FLIF 0.3 and the Plane function but does not provide CVSS, CWE, affected CPEs, exploit status, or a specific fix. Avoid expanding scope beyond FLIF processing of crafted files.

Mitigation direction

  • Inventory services and tools that process FLIF images.
  • Restrict or disable FLIF uploads from untrusted users where feasible.
  • Apply memory and process limits around image decoding workflows.
  • Isolate image conversion jobs from critical application services.
  • Check FLIF project guidance before selecting an upgrade or patch.

Validation and detection

  • Search code and dependencies for FLIF 0.3 usage.
  • Confirm whether public endpoints accept or transform FLIF files.
  • Review image-processing jobs for memory-limit enforcement.
  • Check monitoring for decoder crashes or out-of-memory events.
  • Compare deployed FLIF code against the referenced issue context.
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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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.

Source materials

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.