i-FILTER channel accessible

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.
3.7$0-$5k0.00

Summaryinfo

A vulnerability was found in i-FILTER. It has been rated as critical. Affected by this vulnerability is an unknown functionality. The manipulation leads to channel accessible. This vulnerability is traded as CVE-2022-21170. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in i-FILTER (version unknown). It has been rated as problematic. This issue affects an unknown function. The manipulation with an unknown input leads to a channel accessible vulnerability. Using CWE to declare the problem leads to CWE-300. The product does not adequately verify the identity of actors at both ends of a communication channel, or does not adequately ensure the integrity of the channel, in a way that allows the channel to be accessed or influenced by an actor that is not an endpoint. Impacted is confidentiality.

The weakness was shared 03/11/2022. It is possible to read the advisory at download.daj.co.jp. The identification of this vulnerability is CVE-2022-21170 since 01/31/2022. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1557 according to MITRE ATT&CK.

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

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.7
VulDB Meta Temp Score: 3.7

VulDB Base Score: 3.7
VulDB Temp Score: 3.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Channel accessible
CWE: CWE-300
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

01/31/2022 🔍
03/11/2022 +39 days 🔍
03/11/2022 +0 days 🔍
03/13/2022 +2 days 🔍

Sourcesinfo

Advisory: download.daj.co.jp
Status: Not defined

CVE: CVE-2022-21170 (🔍)
GCVE (CVE): GCVE-0-2022-21170
GCVE (VulDB): GCVE-100-194579

Entryinfo

Created: 03/11/2022 08:25
Updated: 03/13/2022 08:04
Changes: 03/11/2022 08:25 (34), 03/13/2022 08:04 (1)
Complete: 🔍
Cache ID: 216::103

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

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