EUVD-2026-12373

A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function removetrainingdata of the file src/vanna/legacy/google/bigqueryvector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used...

GHSA-6MJ8-JMP2-G8Q7 Vanna has a SQL injection in the remove_training_data function

A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function removetrainingdata of the file src/vanna/legacy/google/bigqueryvector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used...

Vanna has a SQL injection in the remove_training_data function

A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function removetrainingdata of the file src/vanna/legacy/google/bigqueryvector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used...

CVE-2026-4229

A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function removetrainingdata of the file src/vanna/legacy/google/bigqueryvector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used...

SQL Injection

Overview vanna is a Generate SQL queries from natural language Affected versions of this package are vulnerable to SQL Injection via the removetrainingdata function in the file bigqueryvector.py. An attacker can execute arbitrary SQL commands by supplying crafted input to the ID argument...

CVE-2026-4229 vanna-ai vanna bigquery_vector.py remove_training_data sql injection

A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function removetrainingdata of the file src/vanna/legacy/google/bigqueryvector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used...

CVE-2026-4229 vanna-ai vanna bigquery_vector.py remove_training_data sql injection

A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function removetrainingdata of the file src/vanna/legacy/google/bigqueryvector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used...

CVE-2026-4229

CVE-2026-4229 affects vanna-ai vanna up to version 2.0.2, specifically the function remove_training_data in src/vanna/legacy/google/bigquery_vector.py. The underlying issue is a manipulation of the argument ID that enables SQL injection, permitting a remote attacker to exploit the vulnerability. ...

CVE-2026-4229

A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function removetrainingdata of the file src/vanna/legacy/google/bigqueryvector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used...

Vanna SQL注入漏洞

Vanna is a personalized AI SQL proxy from Vanna Inc. Versions of Vanna 2.0.2 and earlier had an SQL injection vulnerability. This vulnerability stemmed from improper handling of the parameter ID in the function removetrainingdata located in the file src/vanna/legacy/google/bigqueryvector.py. An S...

PT-2026-25639

Name of the Vulnerable Software and Affected Versions vanna-ai vanna versions up to 2.0.2 Description A flaw exists in the remove training data function within the src/vanna/legacy/google/bigquery vector.py file. Manipulation of the ID argument can lead to SQL injection. This issue can be exploit...

binary-exploitation

binary-exploitation A collection of binary exploitation...

Automatic Attack Script Generation: A MDA Approach

It is widely recognized that practical exercises are crucial for teaching cybersecurity in higher education. However, their setup is not only expensive, time-consuming, and prone to numerous errors, but also requires technical and programming skills to create attack contexts and scripts. To...

Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks

Adversarial examples can represent a serious threat to machine learning ML algorithms. If used to manipulate the behaviour of ML-based Network Intrusion Detection Systems NIDS, they can jeopardize network security. In this work, we aim to mitigate such risks by increasing the robustness of NIDS...

Study Finds ROME AI Agent Attempted Cryptomining Without Instructions

A recent research paper describing the training of an experimental AI agent has started a discussion after the…...

Women’s History Month: Encouraging women in cybersecurity at every career stage

Women’s History Month—and International Women’s Day on March 8, 2026—always gives me pause for reflection. It’s a moment to think about how far we’ve come and think about who we choose to uplift as we look ahead. Throughout my career, I’ve been inspired by extraordinary women leaders—trailblazers...

CVE-2025-11252

Improper Neutralization of Special Elements used in an SQL Command 'SQL Injection' vulnerability in Signum Technology Promotion and Training Inc. Windesk.Fm allows SQL Injection. This issue affects windesk.Fm: before v2.3.4. NOTE: The vendor patched the vulnerability after the CVE was published...

CVE-2025-11252

Improper Neutralization of Special Elements used in an SQL Command 'SQL Injection' vulnerability in Signum Technology Promotion and Training Inc. Windesk.Fm allows SQL Injection. This issue affects windesk.Fm: before v2.3.4. NOTE: The vendor patched the vulnerability after the CVE was published...

PT-2026-22336

Name of the Vulnerable Software and Affected Versions Signum Technology Promotion and Training Inc. Windesk.Fm versions through 27022026 Description An issue exists in Windesk.Fm that allows for SQL Injection. The issue is due to improper neutralization of special elements used in an SQL command...

ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution

Intrusion detection in IoT and industrial networks requires models that can detect rare attacks at low false-positive rates while remaining reliable under evolving traffic and limited labels. Existing IDS solutions often report strong in-distribution accuracy, but they may degrade when evaluated ...