LibTIFF 4.0.7 Image input validation

CVSS Meta Temp Score
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability has been found in LibTIFF 4.0.7 and classified as critical. This affects an unknown function of the component Image Handler. Performing a manipulation results in input validation. This vulnerability is cataloged as CVE-2017-7600. The attack must be initiated from a local position. There is no exploit available. The affected component should be upgraded.

Detailsinfo

A vulnerability classified as critical has been found in LibTIFF 4.0.7 (Image Processing Software). This affects an unknown part of the component Image Handler. The manipulation with an unknown input leads to a input validation vulnerability. CWE is classifying the issue as CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

LibTIFF 4.0.7 has an "outside the range of representable values of type unsigned char" undefined behavior issue, which might allow remote attackers to cause a denial of service (application crash) or possibly have unspecified other impact via a crafted image.

The bug was discovered 04/09/2017. The weakness was shared 04/09/2017 (Website). It is possible to read the advisory at blogs.gentoo.org. This vulnerability is uniquely identified as CVE-2017-7600 since 04/09/2017. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.

The vulnerability scanner Nessus provides a plugin with the ID 99636 (Debian DLA-911-1 : tiff security update), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Debian Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 276580 (Fedora Security Update for libtiff (FEDORA-2017-021bebae25)).

Upgrading eliminates this vulnerability. A possible mitigation has been published 3 weeks after the disclosure of the vulnerability.

The vulnerability is also documented in the vulnerability database at Tenable (99636). The entries VDB-99451, VDB-99452, VDB-99453 and VDB-99454 are related to this item. 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: 6.5
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
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Exploitinginfo

Class: Input validation
CWE: CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 99636
Nessus Name: Debian DLA-911-1 : tiff security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 703844
OpenVAS Name: Debian Security Advisory DSA 3844-1 (tiff - security update)
OpenVAS File: 🔍
OpenVAS Family: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

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

Timelineinfo

04/09/2017 🔍
04/09/2017 +0 days 🔍
04/09/2017 +0 days 🔍
04/09/2017 +0 days 🔍
04/09/2017 +0 days 🔍
04/24/2017 +15 days 🔍
04/25/2017 +1 days 🔍
11/28/2022 +2043 days 🔍

Sourcesinfo

Product: libtiff.org

Advisory: USN-3602-1
Status: Not defined

CVE: CVE-2017-7600 (🔍)
GCVE (CVE): GCVE-0-2017-7600
GCVE (VulDB): GCVE-100-99459

OVAL: 🔍

OSVDB: - CVE-2017-7600 - LibTIFF - Denial of Service Issue

See also: 🔍

Entryinfo

Created: 04/09/2017 21:14
Updated: 11/28/2022 07:32
Changes: 04/09/2017 21:14 (73), 08/27/2020 17:39 (4), 11/28/2022 07:32 (4)
Complete: 🔍
Cache ID: 216::103

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

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