Fuji Electric FRENIC LOADER up to 3.5.0.0 out-of-bounds

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 (≈)
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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.
4.3$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Fuji Electric FRENIC LOADER up to 3.5.0.0. Impacted is an unknown function. The manipulation leads to out-of-bounds. This vulnerability is listed as CVE-2019-13512. The attack must be carried out locally. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Fuji Electric FRENIC LOADER up to 3.5.0.0. This issue affects an unknown code. The manipulation with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Fuji Electric FRENIC Loader 3.5.0.0 and prior is vulnerable to an out-of-bounds read vulnerability, which may allow an attacker to read limited information from the device.

The weakness was presented 08/15/2019. The identification of this vulnerability is CVE-2019-13512 since 07/11/2019. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.

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

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 3.3
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: Out-of-bounds
CWE: CWE-125 / 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

07/11/2019 🔍
08/15/2019 +35 days 🔍
08/16/2019 +1 days 🔍
11/25/2023 +1562 days 🔍

Sourcesinfo

Advisory: us-cert.gov
Status: Not defined

CVE: CVE-2019-13512 (🔍)
GCVE (CVE): GCVE-0-2019-13512
GCVE (VulDB): GCVE-100-140123

Entryinfo

Created: 08/16/2019 08:04
Updated: 11/25/2023 18:23
Changes: 08/16/2019 08:04 (34), 07/29/2020 11:13 (17), 11/25/2023 18:23 (3)
Complete: 🔍
Cache ID: 216::103

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

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