What is the CVSS score of CVE-2024-48509?

CVE-2024-48509 has a CVSS 3.1 base score of 9.8 (Critical). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.5%.

Learning With Texts CVE-2024-48509

CRITICAL

SQL Injection (CWE-89)

2024-10-21 cve@mitre.org

Authentication Bypass SQLi Learning With Texts

9.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

9.8 CRITICAL

AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Oct 21, 2024 - 20:15 nvd

CRITICAL 9.8

DescriptionNVD

Learning with Texts (LWT) 2.0.3 is vulnerable to SQL Injection. This occurs when the application fails to properly sanitize user inputs, allowing attackers to manipulate SQL queries by injecting malicious SQL statements into URL parameters. By exploiting this vulnerability, an attacker could gain unauthorized access to the database, retrieve sensitive information, modify or delete data, and execute arbitrary commands.

AnalysisAI

Learning with Texts (LWT) 2.0.3 is vulnerable to SQL Injection. Rated critical severity (CVSS 9.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as SQL Injection (CWE-89), which allows attackers to execute arbitrary SQL commands against the database. Learning with Texts (LWT) 2.0.3 is vulnerable to SQL Injection. This occurs when the application fails to properly sanitize user inputs, allowing attackers to manipulate SQL queries by injecting malicious SQL statements into URL parameters. By exploiting this vulnerability, an attacker could gain unauthorized access to the database, retrieve sensitive information, modify or delete data, and execute arbitrary commands. Affected products include: Lang-Learn-Guy Learning With Texts.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Use parameterized queries/prepared statements. Never concatenate user input into SQL. Apply least-privilege database permissions.