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Showing posts with label Malicious Bots. Show all posts

Malicious Go Package Disguised as SSH Tool Steals Credentials via Telegram

 

Researchers have uncovered a malicious Go package disguised as an SSH brute-force tool that secretly collects and transmits stolen credentials to an attacker-controlled Telegram bot. The package, named golang-random-ip-ssh-bruteforce, first appeared on June 24, 2022, and was linked to a developer under the alias IllDieAnyway. Although the GitHub profile tied to this account has since been removed, the package is still accessible through Go’s official registry, raising concerns about supply chain security risks for developers who might unknowingly use it. 

The module is designed to scan random IPv4 addresses in search of SSH services operating on TCP port 22. Once it detects a running service, it attempts brute-force login using only two usernames, “root” and “admin,” combined with a list of weak and commonly used passwords. These include phrases such as “root,” “test,” “password,” “admin,” “12345678,” “1234,” “qwerty,” “webadmin,” “webmaster,” “techsupport,” “letmein,” and “Passw@rd.” If login succeeds, the malware immediately exfiltrates the target server’s IP address, username, and password through Telegram’s API to a bot called @sshZXC_bot, which forwards the stolen information to a user identified as @io_ping. Since Telegram communications are encrypted via HTTPS, the credential theft blends into ordinary web traffic, making detection much more difficult. 

The design of the tool helps it remain stealthy while maximizing efficiency. To bypass host identity checks, the module disables SSH host key verification by setting ssh.InsecureIgnoreHostKey as its callback. It continuously generates IPv4 addresses while attempting concurrent logins in an endless loop, increasing the chances of finding vulnerable servers. Interestingly, once it captures valid credentials for the first time, the malware terminates itself. This tactic minimizes its exposure, helping it avoid detection by defenders monitoring for sustained brute-force activity. 

Archival evidence suggests that the creator of this package has been active in the underground hacking community for years. Records link the developer to the release of multiple offensive tools, including an IP port scanner, an Instagram parser, and Selica-C2, a PHP-based botnet for command-and-control operations. Associated videos show tutorials on exploiting Telegram bots and launching SMS bomber attacks on Russian platforms. Analysts believe the attacker is likely of Russian origin, based on the language, platforms, and content of their activity. 

Security researchers warn that this Trojanized Go module represents a clear supply chain risk. Developers who unknowingly integrate it into their projects could unintentionally expose sensitive credentials to attackers, since the exfiltration traffic is hidden within legitimate encrypted HTTPS connections. This case underscores the growing threat of malicious open-source packages being planted in widely used ecosystems, where unsuspecting developers become conduits for large-scale credential theft.

AI Bots Fuel 57% of Holiday Shopping Traffic, Study Finds

 

Radware's 2025 E-commerce Bot Threat Report reveals that automated bots generated 57% of online shopping website traffic during the 2024 holiday season, rather than human buyers. According to Radware's analytics, this is the first time non-DDoS generating bots have outperformed human shoppers in driving traffic to e-commerce websites. The company claims that this represents substantial shifts in the cybersecurity landscape for e-commerce providers and online retailers.

"Bad bots are no longer just based on simple scripts—they're sophisticated, AI-enhanced agents capable of outsmarting traditional defences. E-commerce providers and online retailers that rely on conventional security measures will find themselves increasingly exposed, not just during the holidays but year-round," stated Ron Meyran, Vice President of Cyber Threat Intelligence at Radware. 

The report describes numerous important bot attack trends and real-world data collected during the 2024 online holiday shopping season. It also looks at the dispersed and multi-vector threats that e-commerce enterprises should be prepared to face in the coming year. According to the findings, AI-generated bots with human-like characteristics are becoming more common. Bad bots accounted for 31% of all internet traffic during the 2024 holiday season. 

Nearly 60% of this malicious traffic employed novel strategies to avoid traditional, signature-based detection systems. Tactics discovered include IP address and identity rotation, distributed attack patterns, the exploitation of CAPTCHA farm services, and other sophisticated anomalies. According to the study, addressing these risks requires reliable, AI-powered detection systems that prevent false positives while recognising attack trends. 

The report also highlights that attacks against mobile platforms have increased. The holiday seasons of 2023 and 2024 saw a 160% spike in malicious bot traffic directed at mobile devices. According to the study, this change in attacker focus necessitates security measures that are especially suited for mobile systems. These days, attackers use headless browsers with mobile user-agent strings, mobile emulators, and mobile-centric proxy services. 

Attacks against distributed network infrastructures and residential proxy networks have also increased. Between 2023 and 2024, the share of holiday assault traffic originating and blending with ISP networks climbed by 32%. This rise reflects attackers' increased use of residential proxy services to circumvent rate-limiting, geo-based, and IP-based blocking methods. According to Radware, this trend creates new mitigation challenges for security teams who lack comprehensive and multilayered defences.