DOS SS1/SS1 Cloud permission assignment

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.
7.0$0-$5k0.00

Summaryinfo

A vulnerability described as critical has been identified in DOS SS1 and SS1 Cloud. This vulnerability affects unknown code. Executing a manipulation can lead to permission assignment. This vulnerability is handled as CVE-2025-53396. It is possible to launch the attack on the local host. There is not any exploit available.

Detailsinfo

A vulnerability was found in DOS SS1 and SS1 Cloud (unknown version). It has been declared as critical. This vulnerability affects an unknown code block. The manipulation with an unknown input leads to a permission assignment vulnerability. The CWE definition for the vulnerability is CWE-732. The product specifies permissions for a security-critical resource in a way that allows that resource to be read or modified by unintended actors. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

Incorrect permission assignment for critical resource issue exists in SS1 Ver.16.0.0.10 and earlier (Media version:16.0.0a and earlier), which may allow users who can log in to a client terminal to obtain root privileges.

The advisory is shared for download at dos-osaka.co.jp. This vulnerability was named CVE-2025-53396 since 08/25/2025. The exploitation appears to be difficult. The attack needs to be approached locally. 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 08/28/2025).

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

Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.0
VulDB Meta Temp Score: 7.0

VulDB Base Score: 7.0
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.0
CNA Vector (jpcert): 🔒

CVSSv2info

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

Exploitinginfo

Class: Permission assignment
CWE: CWE-732 / CWE-275 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

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

08/25/2025 CVE reserved
08/28/2025 +3 days Advisory disclosed
08/28/2025 +0 days VulDB entry created
08/28/2025 +0 days VulDB entry last update

Sourcesinfo

Advisory: dos-osaka.co.jp
Status: Confirmed

CVE: CVE-2025-53396 (🔒)
GCVE (CVE): GCVE-0-2025-53396
GCVE (VulDB): GCVE-100-321676

Entryinfo

Created: 08/28/2025 11:13
Changes: 08/28/2025 11:13 (72)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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