Dmitry Kalinin

Dmitry Kalinin is a cybersecurity expert and researcher at Kaspersky. His work primarily focuses on analyzing malware and threat actors, with a special emphasis on targeted attacks, mobile threats, financial threats, and spam and phishing. He regularly contributes to the Kaspersky SecureList blog where he shares his findings in easy-to-understand language for the cybersecurity community. His articles provide unique insights into various malware families and their techniques to help organizations protect themselves from such threats.

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The Daily's Verdict

This author is known for its high journalistic standards. The author strives to maintain neutrality and transparency in its reporting, and avoids conflicts of interest. The author has a reputation for accuracy and rarely gets contradicted on major discrepancies in its reporting.

Bias

97%

Examples:

  • Kaspersky researchers prioritize uncovering and analyzing new malware techniques to help the cybersecurity community stay informed and protected.

Conflicts of Interest

100%

Examples:

No current examples available.

Contradictions

100%

Examples:

  • Dmitry Kalinin's article highlights SoumniBot, a new Android banker targeting Korean users with unique techniques to bypass detection.

Deceptions

100%

Examples:

No current examples available.

Recent Articles

New Android Malware SoumniBot Evades Detection with Invalid Manifest File Size and Uncompressed Data

New Android Malware SoumniBot Evades Detection with Invalid Manifest File Size and Uncompressed Data

Broke On: Monday, 01 April 2024 A new Android malware named SoumniBot, targeting South Korean users, evades detection by misrepresenting its manifest file size and using an unconventional method to bypass validation checks. The malware exploits the incorrect checking of compression method values in the Android APK parser and adds extra content to the unpacked manifest due to its reported size exceeding its real size. Once installed, SoumniBot remains active in the background and uploads data from victims' devices.