LibTIFF libtiff5.tif tif_next.c NeXTDecode memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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6.2$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in LibTIFF libtiff5.tif. Impacted is the function NeXTDecode of the file tif_next.c. The manipulation leads to memory corruption. This vulnerability is uniquely identified as CVE-2015-1547. The attack is possible to be carried out remotely. Moreover, an exploit is present. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in LibTIFF libtiff5.tif (Image Processing Software). This issue affects the function NeXTDecode of the file tif_next.c. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is availability. The summary by CVE is:

The NeXTDecode function in tif_next.c in LibTIFF allows remote attackers to cause a denial of service (uninitialized memory access) via a crafted TIFF image, as demonstrated by libtiff5.tif.

The weakness was disclosed 04/13/2016 by Salvatore Bonaccorso (Website). It is possible to read the advisory at openwall.com. The identification of this vulnerability is CVE-2015-1547 since 02/06/2015. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details as well as a public exploit are known.

It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 84370 (Amazon Linux AMI : libtiff (ALAS-2015-553)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Amazon Linux Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 296002 (Solaris 11.3 Support Repository Update (SRU) 9.4.0 Missing).

Upgrading eliminates this vulnerability. A possible mitigation has been published even before and not after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (84370) and SecurityFocus (BID 73438†). The entries VDB-9747, VDB-61154, VDB-74783 and VDB-78889 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.2

VulDB Base Score: 6.5
VulDB Temp Score: 5.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 84370
Nessus Name: Amazon Linux AMI : libtiff (ALAS-2015-553)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 14611
OpenVAS Name: Amazon Linux Local Check: alas-2016-734
OpenVAS File: 🔍
OpenVAS Family: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/28/2014 🔍
02/06/2015 +40 days 🔍
06/22/2015 +135 days 🔍
06/25/2015 +3 days 🔍
04/13/2016 +293 days 🔍
04/13/2016 +0 days 🔍
04/14/2016 +1 days 🔍
07/24/2022 +2292 days 🔍

Sourcesinfo

Product: libtiff.org

Advisory: RHSA-2016:1546
Researcher: Salvatore Bonaccorso
Status: Not defined
Confirmation: 🔍

CVE: CVE-2015-1547 (🔍)
GCVE (CVE): GCVE-0-2015-1547
GCVE (VulDB): GCVE-100-82307
SecurityFocus: 73438 - LibTIFF 'libtiff/tif_next.c' Memory Corruption Vulnerability

scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 04/14/2016 09:55
Updated: 07/24/2022 09:18
Changes: 04/14/2016 09:55 (51), 10/05/2018 07:51 (29), 07/24/2022 09:18 (4)
Complete: 🔍
Cache ID: 216::103

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

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