QPDF up to 8.0.2 libqpdf.a QPDFObjectHandle/QPDF_Dictionary resource management

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

Summaryinfo

A vulnerability was found in QPDF up to 8.0.2. It has been rated as problematic. Affected is the function QPDFObjectHandle/QPDF_Dictionary of the file libqpdf.a. Performing a manipulation results in resource management. This vulnerability was named CVE-2018-9918. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is advised.

Detailsinfo

A vulnerability classified as problematic has been found in QPDF up to 8.0.2. This affects the function QPDFObjectHandle/QPDF_Dictionary of the file libqpdf.a. The manipulation with an unknown input leads to a resource management vulnerability. CWE is classifying the issue as CWE-399. This is going to have an impact on availability. The summary by CVE is:

libqpdf.a in QPDF through 8.0.2 mishandles certain "expected dictionary key but found non-name object" cases, allowing remote attackers to cause a denial of service (stack exhaustion), related to the QPDFObjectHandle and QPDF_Dictionary classes.

The bug was discovered 04/10/2018. The weakness was presented 04/10/2018 (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2018-9918 since 04/10/2018. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability scanner Nessus provides a plugin with the ID 109436 (Fedora 27 : cups-filters / qpdf (2018-f2e1c09437)), 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 197126 (Ubuntu Security Notification for Qpdf Vulnerabilities (USN-3638-1)).

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 (109436). See VDB-113196, VDB-113203, VDB-113204 and VDB-113205 for similar entries. Be aware that VulDB is the high quality source 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: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Resource management
CWE: CWE-399 / CWE-404
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: 109436
Nessus Name: Fedora 27 : cups-filters / qpdf (2018-f2e1c09437)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 60931
OpenVAS Name: Fedora Update for qpdf FEDORA-2018-d7ea552cde
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: 🔍

Patch: github.com

Timelineinfo

04/10/2018 🔍
04/10/2018 +0 days 🔍
04/10/2018 +0 days 🔍
04/10/2018 +0 days 🔍
04/11/2018 +1 days 🔍
04/30/2018 +19 days 🔍
05/01/2018 +1 days 🔍
02/27/2023 +1763 days 🔍

Sourcesinfo

Product: github.com

Advisory: FEDORA-2018-f2e1c09437
Status: Not defined

CVE: CVE-2018-9918 (🔍)
GCVE (CVE): GCVE-0-2018-9918
GCVE (VulDB): GCVE-100-115983
See also: 🔍

Entryinfo

Created: 04/11/2018 09:21
Updated: 02/27/2023 13:25
Changes: 04/11/2018 09:21 (71), 01/23/2020 15:41 (3), 02/27/2023 13:14 (5), 02/27/2023 13:19 (1), 02/27/2023 13:25 (1)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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