libdoc up to 2019-01-28 catdoc.c doc2text null pointer dereference

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.5$0-$5k0.00

Summaryinfo

A vulnerability was found in libdoc up to 2019-01-28. It has been rated as problematic. This affects the function doc2text of the file catdoc.c. Performing a manipulation results in null pointer dereference. This vulnerability is reported as CVE-2019-7233. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as problematic has been found in libdoc up to 2019-01-28. This affects the function doc2text of the file catdoc.c. The manipulation with an unknown input leads to a null pointer dereference vulnerability. CWE is classifying the issue as CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. This is going to have an impact on availability. The summary by CVE is:

In libdoc through 2019-01-28, doc2text in catdoc.c has a NULL pointer dereference.

The bug was discovered 01/29/2019. The weakness was disclosed 01/30/2019 (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2019-7233 since 01/30/2019. 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. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.6
VulDB Meta Temp Score: 6.6

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Null pointer dereference
CWE: CWE-476 / CWE-404
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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/29/2019 🔍
01/30/2019 +1 days 🔍
01/30/2019 +0 days 🔍
01/30/2019 +0 days 🔍
01/31/2019 +1 days 🔍
05/07/2020 +462 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2019-7233 (🔍)
GCVE (CVE): GCVE-0-2019-7233
GCVE (VulDB): GCVE-100-130347

Entryinfo

Created: 01/31/2019 13:08
Updated: 05/07/2020 07:16
Changes: 01/31/2019 13:08 (56), 05/07/2020 07:16 (1)
Complete: 🔍
Cache ID: 216::103

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

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