CVE-2024-37064

Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded...

CVE-2024-37064: Deserialization of Untrusted Data

Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded...

lunary authorization issue vulnerability (CNVD-2025-12114)

lunary is a production toolkit for LLM. An authorization issue vulnerability exists in lunary, which stems from a lack of authorization and authentication mechanisms, and can be exploited by an attacker to delete a dataset by sending a DELETE request to an endpoint...

CVE-2024-5356

A vulnerability, which was classified as critical, was found in anji-plus AJ-Report up to 1.4.1. Affected is an unknown function of the file /dataSet/testTransform;swagger-ui. The manipulation of the argument dynSentence leads to sql injection. It is possible to launch the attack remotely. The...

CVE-2024-5356: Improper Neutralization of Special Elements used in an SQL Command

A vulnerability, which was classified as critical, was found in anji-plus AJ-Report up to 1.4.1. Affected is an unknown function of the file /dataSet/testTransform;swagger-ui. The manipulation of the argument dynSentence leads to sql injection. It is possible to launch the attack remotely. The...

PT-2024-35777

Name of the Vulnerable Software and Affected Versions anji-plus AJ-Report versions up to 1.4.1 Description A critical issue was found in the software, affecting an unknown function of the file /dataSet/testTransform;swagger-ui. The manipulation of the dynSentence argument leads to SQL injection. ...

CVE-2024-3761

In lunary-ai/lunary version 1.2.2, the DELETE endpoint located at packages/backend/src/api/v1/datasets is vulnerable to unauthorized dataset deletion due to missing authorization and authentication mechanisms. This vulnerability allows any user, even those without a valid token, to delete a datas...

CVE-2024-3761 Missing Authorization on Delete Datasets in lunary-ai/lunary

In lunary-ai/lunary version 1.2.2, the DELETE endpoint located at packages/backend/src/api/v1/datasets is vulnerable to unauthorized dataset deletion due to missing authorization and authentication mechanisms. This vulnerability allows any user, even those without a valid token, to delete a datas...

CVE-2024-3761

In lunary-ai/lunary, version 1.2.2 contains an unauthorized deletion vulnerability on the DELETE endpoint at packages/backend/src/api/v1/datasets due to missing authorization/authentication. This allows any user (no token required) to delete a dataset, potentially causing data loss or service dis...

PT-2024-27674 · Lunary · Lunary

Name of the Vulnerable Software and Affected Versions: lunary-ai/lunary versions 1.2.2 through 1.2.7 Description: The issue is related to the DELETE endpoint located at packages/backend/src/api/v1/datasets, which is vulnerable to unauthorized dataset deletion due to missing authorization and...

Lunary 安全漏洞

lunary is a production toolkit for LLM. An authorization issue vulnerability exists in lunary, which stems from a lack of authorization and authentication mechanisms, and can be exploited by an attacker to delete a dataset by sending a DELETE request to an endpoint...

kurwov vulnerable to Denial of Service due to improper data sanitization

Summary An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. Details...

GHSA-HFRV-H3Q8-9JPR kurwov vulnerable to Denial of Service due to improper data sanitization

Summary An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. Details...

CVE-2024-34075

kurwov is a fast, dependency-free library for creating Markov Chains. An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. If a...

CVE-2024-34075 kurwov vulnerable to Denial of Service due to improper data sanitization

kurwov is a fast, dependency-free library for creating Markov Chains. An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. If a...

CVE-2024-34075 kurwov vulnerable to Denial of Service due to improper data sanitization

kurwov is a fast, dependency-free library for creating Markov Chains. An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. If a...

PT-2024-25686 · Kurwov · Kurwov

Name of the Vulnerable Software and Affected Versions: kurwov versions prior to 3.2.5 Description: The issue arises from an unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose. This allows a maliciously crafted string on the dataset to...

Bitcoin Forensic Analysis Uncovers Money Laundering Clusters and Criminal Proceeds

A forensic analysis of a graph dataset containing transactions on the Bitcoin blockchain has revealed clusters associated with illicit activity and money laundering, including detecting criminal proceeds sent to a crypto exchange and previously unknown wallets belonging to a Russian darknet marke...

A Vast New Data Set Could Supercharge the AI Hunt for Crypto Money Laundering

Blockchain analysis firm Elliptic, MIT, and IBM have released a new AI model—and the 200-million-transaction dataset it's trained on—that aims to spot the “shape” of bitcoin money laundering...

BIT-MLFLOW-2024-27133 Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields...