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
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.
6.1$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Hitron CODA-4582 and CODA-4589. This impacts an unknown function. This manipulation causes entropy. The identification of this vulnerability is CVE-2024-25730. There is no exploit available.

Detailsinfo

A vulnerability has been found in Hitron CODA-4582 and CODA-4589 (version now known) and classified as problematic. Affected by this vulnerability is some unknown processing. The manipulation with an unknown input leads to a entropy vulnerability. The CWE definition for the vulnerability is CWE-331. The product uses an algorithm or scheme that produces insufficient entropy, leaving patterns or clusters of values that are more likely to occur than others. As an impact it is known to affect confidentiality. The summary by CVE is:

Hitron CODA-4582 and CODA-4589 devices have default PSKs that are generated from 5-digit hex values concatenated with a "Hitron" substring, resulting in insufficient entropy (only about one million possibilities).

The weakness was shared 02/24/2024. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2024-25730 since 02/11/2024. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1600.001 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

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.2
VulDB Meta Temp Score: 6.1

VulDB Base Score: 2.6
VulDB Temp Score: 2.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 9.8
CNA Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Entropy
CWE: CWE-331 / CWE-330 / CWE-310
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

02/11/2024 🔍
02/23/2024 +12 days 🔍
02/24/2024 +0 days 🔍
08/16/2024 +174 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2024-25730 (🔍)
GCVE (CVE): GCVE-0-2024-25730
GCVE (VulDB): GCVE-100-254659

Entryinfo

Created: 02/24/2024 00:30
Updated: 08/16/2024 21:14
Changes: 02/24/2024 00:30 (36), 08/16/2024 21:14 (27)
Complete: 🔍
Cache ID: 216::103

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

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