Commons ImagingApplication · Apache

CVE-2018-17202

HIGH · 7.5 CVSS v3.0 Published 2019-05-06
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
84/100
Remediation priority · High
Remotely reachable No privileges Zero-click

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 · unedited
Certain input files could make the code to enter into an infinite loop when Apache Sanselan 0.97-incubator was used to parse them, which could be used in a DoS attack. Note that Apache Sanselan (incubating) was renamed to Apache Commons Imaging.

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 confidence

Apache Sanselan (now Apache Commons Imaging) contains an infinite loop vulnerability in its image parsing logic. When processing specially crafted malicious input files, the parser enters an unbounded loop that never terminates, causing the application to hang and consume CPU resources indefinitely.

MitigationUpdate to a patched version of Apache Commons Imaging that addresses the infinite loop vulnerability. Implement timeout controls around image parsing operations and validate/sanitize input files before processing as defense-in-depth.

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
Commons ImagingApplication
Affected:= 0.97

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
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/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 checks

Work through these to decide whether this CVE applies to you.

  1. Identify Apache Commons Imaging library presence
    Search your project dependencies, build files (pom.xml, build.gradle), or application classpath for 'commons-imaging' or 'apache-sanselan' JAR files
    Affected if The library is present in your dependencies or classpath
  2. Check the installed version
    Examine the JAR file name or version attribute in your dependency management (for Maven: mvn dependency:list; for Gradle: gradle dependencies; or inspect the MANIFEST.MF inside the JAR)
    Affected if The version is exactly 0.97 (equals 0.97, not higher or lower)
  3. Verify image parsing from untrusted sources
    Review your codebase for calls to ImageParser or similar Sanselan/Imaging classes that process image files, especially from user-uploaded or external sources
    Affected if Your application parses image files from untrusted or unsanitized input sources using the vulnerable library
  4. Inspect file processing configuration
    Search for code paths that accept image files as input (file uploads, network inputs, external URLs) and pass them to Sanselan/Imaging parsers without validation
    Affected if Image files from untrusted sources are passed directly to the library for parsing

You are affected only if Apache Commons Imaging version 0.97 is in use AND your application parses untrusted or unsanitized image files using that library.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

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 data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Update to a patched version of Apache Commons Imaging that addresses the infinite loop vulnerability. Implement timeout controls around image parsing operations and validate/sanitize input files before processing as defense-in-depth.

Fix this in Commons Imaging Scoped from the published advisory
  • Consultation2.0 h
  • Implementation3.0 h
  • Testing3.0 h
  • Review / QA2.0 h
10.0 hours of engineering $1,750
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2018-17202 in production — separate from our analysis above.

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What this is

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