CVE-2016-6809
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 · uneditedApache Tika before 1.14 allows Java code execution for serialized objects embedded in MATLAB files. The issue exists because Tika invokes JMatIO to do native deserialization.
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 confidenceApache Tika before version 1.14 contains a critical deserialization vulnerability in its MATLAB file parsing functionality. The JMatIO library invoked by Tika performs unsafe deserialization of serialized Java objects embedded in MATLAB files, allowing remote attackers to execute arbitrary Java code by crafting malicious serialized objects.
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= 2.3.1<= 1.13CVSS 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
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:N/AC:L/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 Apache Tika versionRun 'java -jar tika-app-*.jar --version' or check the tika-core JAR manifest for the version numberAffected if Version is 1.13 or earlier, or the version cannot be determined (indicating an old installation)
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Identify Apache Nutch version if presentCheck the Nutch distribution for the bundled Tika version, typically found in lib/tika-*.jar or examine nutch.xml/ivy.xml for Tika dependenciesAffected if Apache Nutch version 2.3.1 is in use, as it bundles the vulnerable Tika version
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Verify JMatIO library presenceSearch for jmatio*.jar in the classpath or lib directories of the Tika/Nutch installationAffected if The JMatIO library (jmatio*.jar) is present in the application classpath
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Check for MATLAB file processing capabilityReview Tika parser configuration or test parsing a .mat file using 'java -jar tika-app-*.jar --text document.mat'Affected if MATLAB (.mat) file parsing is enabled and functional in the Tika deployment
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Confirm Java deserialization settingsInspect JVM startup arguments for custom object deserialization filters or review if the application accepts untrusted .mat files for processingAffected if No custom object deserialization filter is configured and the application processes .mat files from untrusted sources
A user is affected if their environment runs Apache Tika version 1.13 or earlier (or Apache Nutch 2.3.1) AND has MATLAB file parsing enabled, with the JMatIO library present in the classpath processing untrusted .mat files.
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 Apache Tika to version 1.14 or later which contains the security patch. If immediate upgrading is not feasible, disable or restrict processing of untrusted MATLAB files until the upgrade can be applied.
Apache Tika 1.14 or later
- Upgrade Apache Tika to version 1.14 or later to address the deserialization vulnerability
- If using Apache Nutch, verify that the Tika dependency is updated to version 1.14 or later in the Nutch project's dependency configuration
- After upgrading, rebuild and redeploy the application
- Test that Tika functionality (particularly MATLAB file parsing) continues to work correctly with the new version
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation6.0 h
- Testing8.0 h
- Review / QA4.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2016-6809 — 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-2016-6809 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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