Toshiba Tec e-Studio Multi-Function Peripheral Web Login authentication bypass

CVSS Meta Temp Score
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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.
8.8$5k-$25k0.00

Summaryinfo

A vulnerability classified as critical has been found in Toshiba Tec e-Studio Multi-Function Peripheral. Impacted is an unknown function of the component Web Login. This manipulation causes authentication bypass. This vulnerability appears as CVE-2024-3496. The attacker needs to be present on the local network. There is no available exploit.

Detailsinfo

A vulnerability was found in Toshiba Tec e-Studio Multi-Function Peripheral (version now known). It has been declared as critical. Affected by this vulnerability is some unknown processing of the component Web Login. The manipulation with an unknown input leads to a authentication bypass vulnerability. The CWE definition for the vulnerability is CWE-288. A product requires authentication, but the product has an alternate path or channel that does not require authentication. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Attackers can bypass the web login authentication process to gain access to the printer's system information and upload malicious drivers to the printer. As for the affected products/models/versions, see the reference URL.

The weakness was presented by Zhenhua Huang, Harry Zhang and Minmin Li. It is possible to read the advisory at toshibatec.com. This vulnerability is known as CVE-2024-3496 since 04/09/2024. The exploitation appears to be easy. Access to the local network is required for this attack to succeed. The exploitation doesn't need any form of authentication. 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 06/15/2024).

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

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: 8.8
VulDB Meta Temp Score: 8.8

VulDB Base Score: 8.8
VulDB Temp Score: 8.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 8.8
CNA Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Authentication bypass
CWE: CWE-288 / CWE-287
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Partially

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

04/09/2024 🔍
06/14/2024 +66 days 🔍
06/14/2024 +0 days 🔍
06/15/2024 +1 days 🔍

Sourcesinfo

Advisory: toshibatec.com
Researcher: Zhenhua Huang, Harry Zhang, Minmin Li
Status: Confirmed

CVE: CVE-2024-3496 (🔍)
GCVE (CVE): GCVE-0-2024-3496
GCVE (VulDB): GCVE-100-268603

Entryinfo

Created: 06/14/2024 09:21
Updated: 06/15/2024 07:09
Changes: 06/14/2024 09:21 (61), 06/15/2024 07:09 (1)
Complete: 🔍
Cache ID: 216::103

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

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