GreyNoise has identified a notable surge in scanning activity targeting MOVEit Transfer systems, beginning on May 27, 2025. Prior to this date, scanning was minimal — typically fewer than 10 IPs observed per day.

• 682 unique IPs have triggered GreyNoise’s MOVEit Transfer Scanner tag over the past 90 days.
• The surge began on May 27 — prior activity was near-zero.
  303 IPs (44%) originate from Tencent Cloud (ASN 132203) — by far the most active infrastructure.
• Other source providers include Cloudflare (113 IPs), Amazon (94), and Google (34).
• Top destination countries include the United Kingdom, United States, Germany, France, and Mexico.
• The overwhelming majority of scanner IPs geolocate to the United States.
  ‍

In April 2025, the Global Threat Hunting system of NSFOCUS Fuying Lab detected a significant increase in the activity of a new Botnet Trojan developed based on Go language. Given that many of its built-in DDoS attack methods are HTTP-based, Fuying Lab named it HTTPBot. The HTTPBot Botnet family first came into our monitoring scope in August 2024. Over the past few months, it has expanded aggressively, continuously leveraging infected devices to launch external attacks. Monitoring data indicates that its attack targets are primarily concentrated in the domestic gaming industry. Additionally, some technology companies and educational institutions have also been affected. The attack of this Botnet family is highly targeted, with attackers employing a periodical and multi-stage attack strategy to conduct continuous saturation attacks on selected targets.

In terms of technical implementation, the HTTPBot Botnet Trojan uses an “attack ID” to precisely initiate and terminate the attack process. It also incorporates a variety of innovative DDoS attack methods. By employing highly simulated HTTP Flood attacks and dynamic feature obfuscation techniques, it circumvents traditional rule-based detection mechanisms, including but not limited to the following detection bypass mechanisms:

• Cookie replenishment mechanism
• Randomize the UA and header of http requests
• Real browser calling
• Randomize URL path
• Dynamic rate control
• Status code retry mechanism
  In recent years, most emerging Botnet families have primarily focused on developing communication methods and network control. This includes creating specialized communication tools, separating vulnerabilities from Trojans to protect key information, and enhancing communication anonymity through techniques like DGA (Domain Generation Algorithm), DOH (DNS over HTTPS), and OpenNIC. These Botnets typically emphasize traffic-based attacks aimed at bandwidth consumption. However, HTTPBot has taken a different approach by developing a range of HTTP-based attack methods to conduct transactional (business) DDoS attacks. Attackers can use these methods to precisely target high-value business interfaces and launch targeted saturation attacks on critical interfaces, such as game login and payment systems. This attack with “scalpel-like” precision poses a systemic threat to industries that rely on real-time interaction. HTTPBot marks a paradigm shift in DDoS attacks, moving from “indiscriminate traffic suppression” to “high-precision business strangulation.” This evolution forces defense systems to upgrade from simple “rule-based interception” to a more dynamic approach combining “behavioral analysis and resource elasticity.”

GreyNoise observed a 9X spike in suspicious scanning activity targeting Ivanti Connect Secure or Ivanti Pulse Secure VPN systems. More than 230 unique IPs probed ICS/IPS endpoints. This surge may indicate coordinated reconnaissance and possible preparation for future exploitation.

GreyNoise has observed a significant surge in login scanning activity targeting Palo Alto Networks PAN-OS GlobalProtect portals. Over the last 30 days, nearly 24,000 unique IP addresses have attempted to access these portals. The pattern suggests a coordinated effort to probe network defenses and identify exposed or vulnerable systems, potentially as a precursor to targeted exploitation.

Recent patterns observed by GreyNoise suggest that this activity may signal the emergence of new vulnerabilities in the near future:

“Over the past 18 to 24 months, we’ve observed a consistent pattern of deliberate targeting of older vulnerabilities or well-worn attack and reconnaissance attempts against specific technologies,” said Bob Rudis, VP of Data Science at GreyNoise. “These patterns often coincide with new vulnerabilities emerging 2 to 4 weeks later.”

What does APT Activity Look Like on macOS?I often get asked what Advanced Persistent Activity (APT) or nation state hacking looks like on a macOS system. This is a great question and the answer is no

The activity we have observed has been attributed to a threat group that Microsoft tracks as DEV-0537, also known as LAPSUS$. DEV-0537 is known for using a pure extortion and destruction model without deploying ransomware payloads.