pdf-image 2.0.0 string command injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.3$0-$5k0.00

Summaryinfo

A vulnerability was found in pdf-image 2.0.0. It has been classified as critical. This vulnerability affects unknown code. This manipulation of the argument string as part of Parameter causes command injection. This vulnerability is tracked as CVE-2018-3757. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in pdf-image 2.0.0. It has been declared as critical. Affected by this vulnerability is an unknown code block. The manipulation of the argument string as part of a Parameter leads to a command injection vulnerability. The CWE definition for the vulnerability is CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Command injection exists in pdf-image v2.0.0 due to an unescaped string parameter.

The bug was discovered 06/02/2018. The weakness was disclosed 06/01/2018 (GitHub Repository). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2018-3757 since 12/28/2017. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.

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

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.3

VulDB Base Score: 7.3
VulDB Temp Score: 6.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
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: Command injection
CWE: CWE-77 / CWE-74 / CWE-707
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: 🔍
Patch: github.com

Timelineinfo

12/28/2017 🔍
06/01/2018 +154 days 🔍
06/01/2018 +0 days 🔍
06/02/2018 +1 days 🔍
06/02/2018 +0 days 🔍
03/19/2023 +1751 days 🔍

Sourcesinfo

Advisory: 54679496a89738443917608c2bbe2f6e5dd20e83
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-3757 (🔍)
GCVE (CVE): GCVE-0-2018-3757
GCVE (VulDB): GCVE-100-118627

Entryinfo

Created: 06/02/2018 20:10
Updated: 03/19/2023 14:01
Changes: 06/02/2018 20:10 (55), 02/11/2020 20:05 (2), 03/19/2023 14:01 (5)
Complete: 🔍
Cache ID: 216::103

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

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