i-filter up to 9.50R05 cross site scripting

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.
5.7$0-$5k0.00

Summaryinfo

A vulnerability was found in i-filter up to 9.50R05. It has been rated as problematic. This issue affects some unknown processing. The manipulation leads to cross site scripting. This vulnerability is documented as CVE-2018-16180. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in i-filter up to 9.50R05. This issue affects an unknown function. The manipulation with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Impacted is integrity. The summary by CVE is:

Cross-site scripting vulnerability in i-FILTER Ver.9.50R05 and earlier allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.

The bug was discovered 12/07/2018. The weakness was released 01/09/2019 (Website). It is possible to read the advisory at jvn.jp. The identification of this vulnerability is CVE-2018-16180 since 08/30/2018. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 33 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.

Entry connected to this vulnerability is available at VDB-128892. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.7
VulDB Meta Temp Score: 5.7

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

NVD Base Score: 6.1
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: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
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

08/30/2018 🔍
12/07/2018 +99 days 🔍
01/09/2019 +33 days 🔍
01/09/2019 +0 days 🔍
01/10/2019 +1 days 🔍
04/27/2020 +473 days 🔍

Sourcesinfo

Advisory: jvn.jp
Status: Not defined

CVE: CVE-2018-16180 (🔍)
GCVE (CVE): GCVE-0-2018-16180
GCVE (VulDB): GCVE-100-128891
See also: 🔍

Entryinfo

Created: 01/10/2019 13:56
Updated: 04/27/2020 16:38
Changes: 01/10/2019 13:56 (55), 04/27/2020 16:38 (1)
Complete: 🔍
Cache ID: 216::103

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

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