xaviershay-dm-rails Gem on Ruby Process Table information disclosure

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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3.4$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in xaviershay-dm-rails Gem on Ruby. Affected by this issue is some unknown functionality of the component Process Table Handler. Performing a manipulation results in information disclosure. This vulnerability is reported as CVE-2015-2179. No exploit exists.

Detailsinfo

A vulnerability classified as problematic has been found in xaviershay-dm-rails Gem on Ruby (Ruby Gem) (affected version not known). This affects some unknown functionality of the component Process Table Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality.

The weakness was disclosed 01/27/2023. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2015-2179 since 03/02/2015. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 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

Type

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.5
VulDB Meta Temp Score: 3.4

VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Partially

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

03/02/2015 🔍
01/27/2023 +2888 days 🔍
01/27/2023 +0 days 🔍
01/27/2023 +0 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2015-2179 (🔍)
GCVE (CVE): GCVE-0-2015-2179
GCVE (VulDB): GCVE-100-219627

Entryinfo

Created: 01/27/2023 14:47
Changes: 01/27/2023 14:47 (37)
Complete: 🔍
Cache ID: 216::103

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

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