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New Android Malware 'Ajina.Banker' Steals Financial Data and Bypasses 2FA via Telegram

Bank customers in the Central Asia region have been targeted by a new strain of Android malware codenamed Ajina.Banker since at least November 2024 with the goal of harvesting financial information and intercepting two-factor authentication (2FA) messages. Singapore-headquartered Group-IB, which discovered the threat in May 2024, said the malware is propagated via a network of Telegram channels

The Hacker News
#android#git#java#auth#The Hacker News
Urgent: GitLab Patches Critical Flaw Allowing Unauthorized Pipeline Job Execution

GitLab on Wednesday released security updates to address 17 security vulnerabilities, including a critical flaw that allows an attacker to run pipeline jobs as an arbitrary user. The issue, tracked as CVE-2024-6678, carries a CVSS score of 9.9 out of a maximum of 10.0 "An issue was discovered in GitLab CE/EE affecting all versions starting from 8.14 prior to 17.1.7, starting from 17.2 prior to

GHSA-7vhj-pfwv-hx3w: MindsDB Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 23.3.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded model to run arbitrary code on the server when interacted with.

GHSA-q9r8-89xr-4xv4: MindsDB Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 23.10.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when used for a prediction.

GHSA-7vhh-gfjc-x8rm: MindsDB Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 23.10.3.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when a ‘describe’ query is run on it.

GHSA-8cm9-rrgc-4pcj: Cleanlab Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 2.4.0 or newer of the Cleanlab project, enabling a maliciously crafted datalab.pkl file to run arbitrary code on an end user’s system when the data directory is loaded.

GHSA-fr9q-rgwq-g5r5: MindsDB Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 23.10.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when using ‘finetune’ on it.

GHSA-wf9g-c67g-h4ch: MindsDB Eval Injection vulnerability

An arbitrary code execution vulnerability exists in versions 23.10.5.0 up to 24.7.4.1 of the MindsDB platform, when the Microsoft SharePoint integration is installed on the server. For databases created with the SharePoint engine, an ‘INSERT’ query can be used for list item creation. If such a query is specially crafted to contain Python code and is run against the database, the code will be passed to an eval function and executed on the server.

GHSA-4fgp-7vvm-m4jf: Refuel Autolab Eval Injection vulnerability

An arbitrary code execution vulnerability exists in versions 0.0.8 and newer of the Refuel Autolabel library because of the way its multilabel classification tasks handle provided CSV files. If a user creates a multilabel classification task using a maliciously crafted CSV file containing Python code, the code will be passed to an eval function which executes it.

GHSA-g2m8-f3x2-qprw: Refuel Autolab Eval Injection vulnerability

An arbitrary code execution vulnerability exists in versions 0.0.8 and newer of the Refuel Autolabel library because of the way its classification tasks handle provided CSV files. If a victim user creates a classification task using a maliciously crafted CSV file containing Python code, the code will be passed to an eval function which executes it.