HPE IOT/GCP 1.2.4.2/1.4.0/1.4.1/1.4.2 authorization

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 (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
8.5$5k-$25k0.00

Summaryinfo

A vulnerability was found in HPE IOT and GCP 1.2.4.2/1.4.0/1.4.1/1.4.2. It has been rated as critical. This affects an unknown function. Performing a manipulation results in authorization. This vulnerability is identified as CVE-2020-7133. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as critical, was found in HPE IOT and GCP 1.2.4.2/1.4.0/1.4.1/1.4.2. This affects an unknown function. The manipulation with an unknown input leads to a authorization vulnerability. CWE is classifying the issue as CWE-862. The product does not perform an authorization check when an actor attempts to access a resource or perform an action. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

A unauthorized remote access vulnerability was discovered in HPE IOT + GCP version(s): 1.4.0, 1.4.1, 1.4.2, 1.2.4.2.

The weakness was released 04/24/2020. This vulnerability is uniquely identified as CVE-2020-7133 since 01/16/2020. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 04/25/2020).

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

Entry connected to this vulnerability is available at VDB-154372. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

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

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
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: Authorization
CWE: CWE-862 / CWE-863 / CWE-285
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

01/16/2020 🔍
04/24/2020 +99 days 🔍
04/25/2020 +1 days 🔍
06/03/2024 +1500 days 🔍

Sourcesinfo

Vendor: hpe.com

Advisory: support.hpe.com
Status: Not defined

CVE: CVE-2020-7133 (🔍)
GCVE (CVE): GCVE-0-2020-7133
GCVE (VulDB): GCVE-100-154371
See also: 🔍

Entryinfo

Created: 04/25/2020 17:10
Updated: 06/03/2024 07:17
Changes: 04/25/2020 17:10 (35), 04/25/2020 17:15 (17), 06/03/2024 07:17 (17)
Complete: 🔍
Cache ID: 216::103

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

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