Knwl.js is a Javascript library that parses through text for dates, times, phone numbers, emails, places, and more. Versions 1.0.2 and prior contain one or more regular expressions that are vulnerable to Regular Expression Denial of Service (ReDoS). As of time of publication, no known patches are available.

**Exploitability Metrics**

Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.

Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.

Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.

Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.

User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.

**Vulnerable System Impact Metrics**

Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.

Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).

Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.

**Subsequent System Impact Metrics**

Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.

Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).

Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.

GHSA-68qg-g787-3rp5: Knwl.js Regular Expression Denial of Service vulnerability

Validate.js provides a declarative way of validating javascript objects. Versions 0.13.1 and prior contain one or more regular expressions that are vulnerable to Regular Expression Denial of Service (ReDoS). As of time of publication, no known patches are available.

GHSA-rv73-9c8w-jp4c: validate.js Regular Expression Denial of Service vulnerability

insane is a whitelist-oriented HTML sanitizer. Versions 2.6.2 and prior contain one or more regular expressions that are vulnerable to Regular Expression Denial of Service (ReDoS). As of time of publication, no known patches are available.

GHSA-w455-mfq9-hf74: insane vulnerable to Regular Expression Denial of Service

CommonRegexJS is a CommonRegex port for JavaScript. All available versions contain one or more regular expressions that are vulnerable to Regular Expression Denial of Service (ReDoS). As of time of publication, no known patches are available.

GHSA-pmvv-57rg-5g86: CommonRegexJS Regular Expression Denial of Service vulnerability

Foundation is a front-end framework. Versions 6.3.3 and prior contain one or more regular expressions that are vulnerable to Regular Expression Denial of Service (ReDoS). As of time of publication, it is unknown if any fixes are available.

GHSA-p8pc-3f7w-jr5q: Foundation Regular Expression Denial of Service vulnerability

Nope is a JavaScript validator. Versions 0.11.3 and prior contain one or more regular expressions that are vulnerable to Regular Expression Denial of Service (ReDoS). This vulnerability is fixed in 0.12.1.

GHSA-3phv-83cj-p8p7: nope-validator Regular Expression Denial of Service vulnerability

An issue was found in funadmin 5.0.2. The selectfiles method in `\backend\controller\sys\Attachh.php` directly stores the passed parameters and values into the param parameter without filtering, resulting in Cross Site Scripting (XSS).

GHSA-j9wp-x5q5-xh2f: Funadmin Cross-site Scripting vulnerability

funadmin 5.0.2 is vulnerable to SQL Injection via the parentField parameter in the index method of \backend\controller\auth\Auth.php.

**SQL injection in funadmin**

High severity GitHub Reviewed Published Oct 25, 2024 to the GitHub Advisory Database • Updated Oct 25, 2024

GHSA-2mv8-jjm5-f3hr: SQL injection in funadmin

funadmin 5.0.2 has a SQL injection vulnerability in the Curd one click command mode plugin.

GHSA-h345-r48x-g68f: SQL injection in funadmin

Funadmin v5.0.2 has a SQL injection vulnerability in /curd/table/fieldlist.

Source

ghsa