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Stealthy Microsoft SQL Server Backdoor Malware Spotted in the Wild

Stealthy Microsoft SQL Server Backdoor Malware Spotted in the Wild

Oct 22, 2019
Cybersecurity researchers claim to have discovered a previously undocumented backdoor specifically designed for Microsoft SQL servers that could allow a remote attacker to control an already compromised system stealthily. Dubbed Skip-2.0 , the backdoor malware is a post-exploitation tool that runs in the memory and lets remote attackers connect to any account on the server running MSSQL version 11 and version 12 by using a "magic password." What's more? The malware manages to remain undetected on the victim's MSSQL Server by disabling the compromised machine's logging functions, event publishing, and audit mechanisms every time the "magic password" is used. With these capabilities, an attacker can stealthily copy, modify, or delete the content stored in a database, the impact of which varies from application to application integrated with targeted servers. "This could be used, for example, to manipulate in-game currencies for financial gai
Narilam malware target Iran Financial SQL Databases

Narilam malware target Iran Financial SQL Databases

Nov 27, 2012
Symantec recently identified a database-corrupting piece of malware targeting systems mostly in Iran, but despite early speculation that it could be related to the likes of Stuxnet and Flame, it appears to be targeting small businesses rather than the country's infrastructure. Malware Dubbed W32.Narilam , is predominantly active in the Middle East, and it has also been detected in the USA and UK. The worm looks for particular words in Microsoft SQL databases and overwrites them. The worm specifically targets SQL databases with three distinct names, alim, maliran, and shahd. Once the targeted databases are found, Narilam looks for specific objects and tables and either deletes the tables or replaces items with random values. On Monday an alert was published on tarrahsystem.com warning of the W32.Narilam threat to its customers. The bulk of the infections thus far have been found in the Middle East, particularly Iran and Afghanistan. Kaspersky Lab took issue with repo
How to Achieve the Best Risk-Based Alerting (Bye-Bye SIEM)

How to Achieve the Best Risk-Based Alerting (Bye-Bye SIEM)

Feb 19, 2024Network Detection and Response
Did you know that Network Detection and Response (NDR) has become the most effective technology to detect cyber threats? In contrast to SIEM, NDR offers adaptive cybersecurity with reduced false alerts and efficient threat response. Are you aware of  Network Detection and Response (NDR)  and how it's become the most effective technology to detect cyber threats?  NDR massively upgrades your security through risk-based alerting, prioritizing alerts based on the potential risk to your organization's systems and data. How? Well, NDR's real-time analysis, machine learning, and threat intelligence provide immediate detection, reducing alert fatigue and enabling better decision-making. In contrast to SIEM, NDR offers adaptive cybersecurity with reduced false positives and efficient threat response. Why Use Risk-Based Alerting? Risk-based alerting is an approach where security alerts and responses are prioritized based on the level of risk they pose to an organization's system
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