Mimosa Client Radios/Backhaul Radios up to 2.2.2 input validation

CVSS Meta Temp Score
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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.
7.2$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Mimosa Client Radios and Backhaul Radios up to 2.2.2. This impacts an unknown function. This manipulation causes input validation. The identification of this vulnerability is CVE-2017-9131. It is possible to initiate the attack remotely. There is no exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability classified as critical was found in Mimosa Client Radios and Backhaul Radios up to 2.2.2. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a input validation vulnerability. The CWE definition for the vulnerability is CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. As an impact it is known to affect availability. The summary by CVE is:

An issue was discovered on Mimosa Client Radios before 2.2.3 and Mimosa Backhaul Radios before 2.2.3. By connecting to the Mosquitto broker on an access point and one of its clients, an attacker can gather enough information to craft a command that reboots the client remotely when sent to the client's Mosquitto broker, aka "unauthenticated remote command execution." This command can be re-sent endlessly to act as a DoS attack on the client.

The bug was discovered 05/12/2017. The weakness was shared 05/21/2017 (Website). It is possible to read the advisory at blog.iancaling.com. This vulnerability is known as CVE-2017-9131 since 05/21/2017. 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.

The vulnerability was handled as a non-public zero-day exploit for at least 9 days. During that time the estimated underground price was around $0-$5k.

Upgrading to version 2.2.3 eliminates this vulnerability.

The entries VDB-101540, VDB-101541, VDB-101542 and VDB-101543 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.5
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.5
VulDB Temp Score: 7.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
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: Input validation
CWE: CWE-20
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: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Client Radios/Backhaul Radios 2.2.3

Timelineinfo

05/12/2017 🔍
05/21/2017 +9 days 🔍
05/21/2017 +0 days 🔍
05/21/2017 +0 days 🔍
05/22/2017 +1 days 🔍
09/30/2020 +1227 days 🔍

Sourcesinfo

Advisory: blog.iancaling.com
Status: Not defined

CVE: CVE-2017-9131 (🔍)
GCVE (CVE): GCVE-0-2017-9131
GCVE (VulDB): GCVE-100-101539
OSVDB: - CVE-2017-9131 - Mimosa - Backhaul Radios - Medium

See also: 🔍

Entryinfo

Created: 05/22/2017 08:47
Updated: 09/30/2020 20:41
Changes: 05/22/2017 08:47 (59), 09/30/2020 20:41 (2)
Complete: 🔍
Cache ID: 216:6A5:103

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

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