Hanwha Techwin Smartcam 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.
8.5$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in Hanwha Techwin Smartcam. Affected by this vulnerability is an unknown functionality. Performing a manipulation results in memory corruption. This vulnerability is reported as CVE-2018-6297. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in Hanwha Techwin Smartcam (version now known). It has been classified as critical. This affects some unknown processing. 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. The summary by CVE is:

Buffer overflow in Hanwha Techwin Smartcams

The bug was discovered 03/12/2018. The weakness was disclosed 03/13/2018 (Website). The advisory is shared at securelist.com. This vulnerability is uniquely identified as CVE-2018-6297 since 01/25/2018. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available.

The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k.

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

The entries VDB-114474, VDB-114475, VDB-114476 and VDB-114478 are pretty similar. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
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: Memory corruption
CWE: CWE-119
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

01/25/2018 🔍
03/12/2018 +46 days 🔍
03/13/2018 +1 days 🔍
03/13/2018 +0 days 🔍
03/14/2018 +1 days 🔍
05/27/2020 +805 days 🔍

Sourcesinfo

Advisory: securelist.com
Status: Not defined

CVE: CVE-2018-6297 (🔍)
GCVE (CVE): GCVE-0-2018-6297
GCVE (VulDB): GCVE-100-114477
See also: 🔍

Entryinfo

Created: 03/14/2018 08:00
Updated: 05/27/2020 09:43
Changes: 03/14/2018 08:00 (55), 05/27/2020 09:43 (1)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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