Panasonic KW Watcher up to 2.83 memory corruption

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.
5.4$5k-$25k0.00

Summaryinfo

A vulnerability was found in Panasonic KW Watcher up to 2.83 and classified as critical. Affected by this issue is some unknown functionality. The manipulation results in memory corruption. This vulnerability is cataloged as CVE-2024-4162. The attack may be launched remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as critical has been found in Panasonic KW Watcher up to 2.83. Affected is an unknown code. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:

A buffer error in Panasonic KW Watcher versions 1.00 through 2.83 may allow attackers malicious read access to memory.

The weakness was shared by Michael Heinzl. The advisory is shared for download at www3.panasonic.biz. This vulnerability is traded as CVE-2024-4162 since 04/25/2024. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Successful exploitation requires user interaction by the victim. There are neither technical details nor an exploit publicly available. The current price for an exploit might be approx. USD $5k-$25k (estimation calculated on 05/08/2024).

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

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.4

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 4.4
CNA Vector (Panasonic Holdings Corporation): 🔍

CVSSv2info

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

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
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

04/25/2024 🔍
05/08/2024 +13 days 🔍
05/08/2024 +0 days 🔍
03/31/2025 +327 days 🔍

Sourcesinfo

Advisory: www3.panasonic.biz
Researcher: Michael Heinzl
Status: Confirmed

CVE: CVE-2024-4162 (🔍)
GCVE (CVE): GCVE-0-2024-4162
GCVE (VulDB): GCVE-100-263484

Entryinfo

Created: 05/08/2024 07:46
Updated: 03/31/2025 09:11
Changes: 05/08/2024 07:46 (62), 03/31/2025 09:11 (4)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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