Microsoft Azure Machine Learning Service server-side request forgery

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.
7.3$5k-$25k0.00

Summaryinfo

A vulnerability was found in Microsoft Azure Machine Learning Service, Azure API Management Service, Azure Functions and Azure Digital Twins Explorer. It has been rated as critical. This issue affects some unknown processing. The manipulation leads to server-side request forgery. It is possible to initiate the attack remotely. There is no exploit available. This product is a managed service, so users do not have direct control over vulnerability countermeasures.

Detailsinfo

A vulnerability was found in Microsoft Azure Machine Learning Service, Azure API Management Service, Azure Functions and Azure Digital Twins Explorer (Cloud Software) (version unknown) and classified as critical. This issue affects an unknown function. The manipulation with an unknown input leads to a server-side request forgery vulnerability. Using CWE to declare the problem leads to CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Impacted is confidentiality, integrity, and availability.

The weakness was shared 02/13/2023. The advisory is shared at orca.security. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 02/13/2023).

This product is available as a managed service. Users are not able to maintain vulnerability countermeasures themselves.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

Vendor

Name

License

Managed Service

  • yes

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.3

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

CVSSv2info

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

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/13/2023 🔍
02/13/2023 +0 days 🔍
02/13/2023 +0 days 🔍

Sourcesinfo

Vendor: microsoft.com

Advisory: orca.security
Status: Confirmed
Confirmation: 🔍

GCVE (VulDB): GCVE-100-220829

Entryinfo

Created: 02/13/2023 22:10
Changes: 02/13/2023 22:10 (36)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Discussion

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