PT-2026-55782

A flaw has been found in SourceCodester Class and Exam Timetabling System 1.0. Impacted is an unknown function of the file /edit product.php. This manipulation of the argument ID causes sql injection. Remote exploitation of the attack is possible. The exploit has been published and may be used...

PT-2026-55758

A vulnerability was found in SourceCodester Multi-Vendor Online Grocery Management System 1.0. This affects the function save client of the file classes/Users.php of the component Registration Handler. The manipulation of the argument Name results in sql injection. It is possible to launch the...

PT-2026-55761

Name of the Vulnerable Software and Affected Versions code-projects Internship Management System version 1.0 Description An issue exists in the Employer Login Endpoint within the file employer/login.php. The manipulation of the email and password arguments allows for SQL injection, which is a...

PT-2026-55831

Name of the Vulnerable Software and Affected Versions itsourcecode Hospital Management System version 1.0 Description A SQL injection issue exists in the /paymentdischarge.php endpoint. This occurs when the patientid variable is manipulated, allowing a remote attacker to execute unauthorized...

CVE-2026-14654 SourceCodester Simple and Nice Shopping Cart Script girlsproductdeletequery.php sql injection

A vulnerability was identified in SourceCodester Simple and Nice Shopping Cart Script 1.0. Affected is an unknown function of the file /admin/girlsproductdeletequery.php. Such manipulation of the argument userid leads to sql injection. The attack can be executed remotely. The exploit is publicly...

CVE-2026-14653

SourceCodester Simple and Nice Shopping Cart Script 1.0 contains an SQL injection in /admin/mensproductdeletequery.php exposed by manipulating the user_id argument. The vulnerability is remotely exploitable (attack vector: NETWORK) with LOW to MEDIUM impacts per CVSS data: Confidentiality, Integr...

CVE-2026-14648

A security vulnerability has been detected in code-projects Online Voting System up to 0.x/1.0. This issue affects the function testinput of the file /authentication.php of the component Login. Such manipulation of the argument adminUserName/adminPassword leads to sql injection. It is possible to...

CVE-2026-14649 code-projects Online Voting System saveVote.php test_input sql injection

A vulnerability was detected in code-projects Online Voting System 1.0. Impacted is the function testinput of the file /saveVote.php. Performing a manipulation of the argument voterName/voterEmail/voterID/selectedCandidate results in sql injection. The attack can be initiated remotely...

CVE-2026-14641

A vulnerability was determined in SourceCodester Class and Exam Timetabling System 1.0. Affected by this vulnerability is an unknown functionality of the file /editcourse.php. Executing a manipulation of the argument ID can lead to sql injection. The attack can be executed remotely. The exploit h...

CVE-2026-14648

The CVE details a SQL injection in code-projects Online Voting System (versions up to 0.x/1.0) via the Login component, affecting the function test_input in /authentication.php. By manipulating adminUserName/adminPassword arguments, an attacker can exploit the vulnerability remotely. The exploit ...

CVE-2026-14640

CVE-2026-14640 describes a SQL injection in CodeAstro Apartment Visitor Management System 1.0. The vulnerability is in the Login component, specifically an unknown function in /index.php, where manipulating the Username argument can lead to remote exploitation. The exploit is publicly available a...

Exploit for CVE-2026-57517

Control Web Panel 0.9.8.1224 — Blind SQL Injection to Remot...

PYSEC-2026-2085

In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute...

DEBIAN-CVE-2026-12252

In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute...

UBUNTU-CVE-2026-12252

In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute...

CVE-2026-12252

In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute...

EUVD-2026-41656

In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute...

CVE-2026-12252 Untrusted JAR Code Execution in Multiple Stanford Interface Classes in nltk/nltk

In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute...

PT-2026-55724

Name of the Vulnerable Software and Affected Versions SourceCodester Class and Exam Timetabling System version 1.0 Description An issue exists in the /edit course.php endpoint where manipulation of the ID variable allows for remote SQL injection. SQL injection is a technique where malicious SQL...

Advanced Topic Modeling Techniques for Categorizing Software Vulnerabilities

The increasing complexity and frequency of software vulnerabilities demand efficient methods to analyze and prioritize threats. Traditional approaches often fail to process the vast amount of unstructured textual data effectively, highlighting the need for advanced solutions. This study leverages...