Alias Robotics MiR100/MiR200/MiR250/MiR500/MiR1000 Computational Graph missing authentication

CVSS Meta Temp Score
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CTI Interest Score
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8.5$0-$5k0.00

Summaryinfo

A vulnerability has been found in Alias Robotics MiR100, MiR200, MiR250, MiR500 and MiR1000 and classified as critical. Impacted is an unknown function of the component Computational Graph. This manipulation causes missing authentication. This vulnerability is registered as CVE-2020-10272. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability classified as critical was found in Alias Robotics MiR100, MiR200, MiR250, MiR500 and MiR1000. Affected by this vulnerability is an unknown part of the component Computational Graph. The manipulation with an unknown input leads to a missing authentication vulnerability. The CWE definition for the vulnerability is CWE-306. The product does not perform any authentication for functionality that requires a provable user identity or consumes a significant amount of resources. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

MiR100, MiR200 and other MiR robots use the Robot Operating System (ROS) default packages exposing the computational graph without any sort of authentication. This allows attackers with access to the internal wireless and wired networks to take control of the robot seamlessly. In combination with CVE-2020-10269 and CVE-2020-10271, this flaw allows malicious actors to command the robot at desire.

The weakness was published 06/24/2020 (GitHub Repository). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2020-10272 since 03/10/2020. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.

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

Similar entries are available at VDB-157196, VDB-157194, VDB-157193 and VDB-157192. 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: 9.1
VulDB Meta Temp Score: 8.8

VulDB Base Score: 8.3
VulDB Temp Score: 7.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 10.0
NVD Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Missing authentication
CWE: CWE-306 / CWE-287
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

03/10/2020 🔍
06/24/2020 +106 days 🔍
06/25/2020 +1 days 🔍
10/26/2020 +123 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2020-10272 (🔍)
GCVE (CVE): GCVE-0-2020-10272
GCVE (VulDB): GCVE-100-157195
See also: 🔍

Entryinfo

Created: 06/25/2020 05:56
Updated: 10/26/2020 20:18
Changes: 06/25/2020 05:56 (38), 06/25/2020 06:01 (11), 10/26/2020 20:12 (1), 10/26/2020 20:18 (1)
Complete: 🔍
Cache ID: 216::103

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