python-docutils Temp File exposure of resource

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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8.2$0-$5k0.00

Summaryinfo

A vulnerability was found in python-docutils. It has been classified as critical. The affected element is an unknown function of the component Temp File Handler. This manipulation causes exposure of resource. This vulnerability is tracked as CVE-2009-5042. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as critical was found in python-docutils (Programming Language Software) (unknown version). Affected by this vulnerability is an unknown code block of the component Temp File Handler. The manipulation with an unknown input leads to a exposure of resource vulnerability. The CWE definition for the vulnerability is CWE-668. The product exposes a resource to the wrong control sphere, providing unintended actors with inappropriate access to the resource. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

python-docutils allows insecure usage of temporary files

The weakness was disclosed 10/31/2019. This vulnerability is known as CVE-2009-5042 since 01/14/2011. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.

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

Type

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.2
VulDB Meta Temp Score: 8.2

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.1
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Exposure of resource
CWE: CWE-668 / CWE-200 / CWE-284
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

01/14/2011 🔍
10/31/2019 +3212 days 🔍
11/01/2019 +1 days 🔍
02/01/2024 +1553 days 🔍

Sourcesinfo

Advisory: security-tracker.debian.org
Status: Not defined

CVE: CVE-2009-5042 (🔍)
GCVE (CVE): GCVE-0-2009-5042
GCVE (VulDB): GCVE-100-144667

Entryinfo

Created: 11/01/2019 06:51
Updated: 02/01/2024 08:24
Changes: 11/01/2019 06:51 (33), 11/01/2019 06:56 (18), 02/01/2024 08:24 (3)
Complete: 🔍
Cache ID: 216::103

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

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