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.
4.1	$0-$5k	0.00

Summaryinfo

A vulnerability classified as critical was found in Microsoft Azure Machine Learning Service, Azure API Management Service, Azure Functions and Azure Digital Twins Explorer. This vulnerability affects unknown code. The manipulation results in server-side request forgery. There is no available exploit. This product is a managed service, indicating that users are not permitted to maintain vulnerability countermeasures themselves.

Detailsinfo

A vulnerability classified as critical has been found in Microsoft Azure Machine Learning Service, Azure API Management Service, Azure Functions and Azure Digital Twins Explorer (version unknown). Affected is an unknown function. The manipulation with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality.

The advisory is shared for download at orca.security. The exploitability is told to be easy. The exploitation doesn't require any form of authentication. There are neither technical details nor an exploit publicly available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 10/27/2024).

Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

Cloud Software

Vendor

Microsoft

Name

License

commercial

Managed Service

Website

Vendor: https://www.microsoft.com/

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.1

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AV	AC	Au	C	I	A
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock

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: Partially

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

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Threat Intelligenceinfo

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

Countermeasuresinfo

Status: 🔍

0-Day Time: 🔍

Timelineinfo

10/27/2024 🔍
10/27/2024 +0 days 🔍
10/27/2024 +0 days 🔍

Sourcesinfo

Vendor: microsoft.com

Advisory: orca.security
Status: Confirmed
Confirmation: 🔍

GCVE (VulDB): GCVE-100-281988

Entryinfo

Created: 10/27/2024 16:39
Changes: 10/27/2024 16:39 (50)
Complete: 🔍
Cache ID: 216::103