Apache Tika 1.6-1.13 jmatio MATLAB File deserialization

CVSS Meta Temp Score
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CTI Interest Score
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9.0$0-$5k0.00

Summaryinfo

A vulnerability was found in Apache Tika 1.6-1.13. It has been rated as critical. Affected by this vulnerability is an unknown functionality of the component jmatio. Performing a manipulation as part of MATLAB File results in deserialization. This vulnerability is known as CVE-2016-6809. Remote exploitation of the attack is possible. No exploit is available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability classified as very critical has been found in Apache Tika 1.6-1.13. This affects an unknown function of the component jmatio. The manipulation as part of a MATLAB File leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Apache 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.

The bug was discovered 11/10/2016. The weakness was published 11/10/2016 by Pierre Ernst as CVE-2016-6809 – Arbitrary Code Execution Vulnerability in Apache Tika’s MATLAB Parser as not defined mailinglist post (Bugtraq). It is possible to read the advisory at seclists.org. This vulnerability is uniquely identified as CVE-2016-6809 since 08/12/2016. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/30/2019).

The vulnerability scanner Nessus provides a plugin with the ID 120477 (Fedora 28 : tika (2018-639385f5ec)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Fedora Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 11908 (Apache Solr Tika Java Code Execution Vulnerability).

Upgrading to version 1.14 eliminates this vulnerability. A possible mitigation has been published 2 years after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (120477) and SecurityFocus (BID 94247†). Similar entry is available at VDB-107266. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.4

VulDB Base Score: 9.8
VulDB Temp Score: 9.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
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Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 120477
Nessus Name: Fedora 28 : tika (2018-639385f5ec)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Upgrade: Tika 1.14

Timelineinfo

08/12/2016 🔍
11/10/2016 +90 days 🔍
11/10/2016 +0 days 🔍
11/10/2016 +0 days 🔍
11/11/2016 +1 days 🔍
04/06/2017 +146 days 🔍
04/27/2018 +386 days 🔍
01/03/2019 +251 days 🔍
05/30/2019 +147 days 🔍

Sourcesinfo

Vendor: apache.org

Advisory: CVE-2016-6809 – Arbitrary Code Execution Vulnerability in Apache Tika’s MATLAB Parser
Researcher: Pierre Ernst
Status: Not defined
Confirmation: 🔍

CVE: CVE-2016-6809 (🔍)
GCVE (CVE): GCVE-0-2016-6809
GCVE (VulDB): GCVE-100-93555
SecurityFocus: 94247 - Apache Tika CVE-2016-6809 Remote Code Execution Vulnerability

See also: 🔍

Entryinfo

Created: 11/11/2016 15:31
Updated: 05/30/2019 09:15
Changes: 11/11/2016 15:31 (66), 05/30/2019 09:15 (18)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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