Spam and Phishing

Kaspersky experts have discovered a new scheme that combines elements of spear and mass phishing

Kaspersky analysts explain which applications are targeted the most, and how enterprises can protect themselves from phishing and spam.

Explaining how scammers use phishing and OTP bots to gain access to accounts protected with 2FA.

Here’s how scams target buyers and sellers on online message boards, and how the gangs behind them operate.

In this report, we share our insights into the 2023 trends and statistics on financial threats, such as phishing, PC and mobile banking malware.

This report contains spam and phishing statistics for 2023, along with descriptions of the main trends, among these artificial intelligence, instant messaging phishing, and multilingual BEC attacks.

Kaspersky experts review last year’s predictions on consumer cyberthreats and try to anticipate the trends for 2024.

As Black Friday approaches, Kaspersky analyzes phishing and spam activity around major sales events, and reviews statistics on online shopping threats in 2023.

Gaming-related threat landscape in 2023: desktop and mobile malware disguised as Minecraft, Roblox and other popular games, and the most widespread phishing schemes.

Scammers are camouflaging phishing links with QR codes and distributing them through email.

Scammers are hacking websites powered by WordPress and placing phishing pages inside hidden directories. We share some statistics and tips on recognizing a hacked site.

Here is how email phishing scams targeting hot and cold crypto wallets, such as Trezor and Ledger, work.

This report contains statistics on cybersecurity threats to small and medium-sized businesses in 2023, and examples of cyberattacks on SMBs.

In this crimeware report, Kaspersky researchers provide insights into the Conti-based LockBit Green variant, ransomware samples for macOS, FreeBSD, etc. and phishing campaigns targeting organizations.

Kaspersky research on ChatGPT capabilities to tell a phishing link from a legitimate one by analyzing the URL, as well as extract target organization name.