DreamHost has forced password resets for email and FTP/SFTP users following an incident that disrupted connections to the File Manager interface. The latest update from the web hosting provider notes that all affected account owners have received recovery instructions. Users will be unable to log in until their account owner sets new credentials. DreamHost is a U.S. web hosting provider and domain registrar that offers WordPress hosting, business email, virtual private servers, dedicated servers, and cloud services. According to the company page, it serves over 400,000 customers in more than 100 countries and supports at least 1.5 million websites and applications, including 750,000 WordPress installations. DreamHost initially reported connectivity problems affecting its File Manager interface on October 23, but the impact quickly expanded to other services.
An unknown threat actor has infected 953 online stores, most of them running Magento, as part of a long-running campaign active since July 2025. According to Dutch e-commerce security company Sansec, the activity is designed to add a small piece of code to the store's pages that, when visited by unsuspecting users, serves malicious JavaScript loader code through Magento CMS blocks. "When you
PHP has rebuilt its official Windows packages for PHP 8.2 through 8.5 to fix CVE-2026-111497, a flaw in the Brotli compression library that the packages include. The flaw can let an attacker corrupt memory and potentially run code. PHP says the flaw can be reached through the cURL extension when the extension decompresses HTTP responses automatically. cURL leaves that off by default, but
A critical flaw dubbed 'HTTP2Shell' in Brotli, the C decoder library built into Node.js, could allow attackers to corrupt memory and access sensitive data. The security issue is tracked as CVE-2026-111497 and is also known as “Broccoli2Shell” and “Node2Shell.” It affects Brotli versions 1.0.3 through 1.0.9, 1.1.0, and 1.2.0. The vulnerability has been reported under several names because it was initially identified in Node.js before researchers found that the same flaw in the Brotli decoder could affect software across multiple ecosystems. The name HTTP2Shell reflects its impact on HTTP clients and servers, although the vulnerability is not specific to HTTP/2 and can affect other applications that decompress attacker-controlled Brotli data. Apart from Node.js, potentially affected software includes Python HTTP clients such as urllib3[brotli], requests, httpx, and aiohttp[speedups], when configured with a vulnerable Brotli decoder, as well as other applications and tools that use vulnerable Brotli implementations.
Cybersecurity researchers are calling attention to what they say is a "recurring social engineering pattern" across hundreds of cases in which threat actors use Microsoft Teams' external chat creation feature to conduct impersonation scams or to deliver malware. "A consistent pattern of attacker behavior has emerged across these incidents: the use of the same throwaway tenants, the same 'IT
Microsoft released emergency .NET security updates to patch a critical vulnerability known as Broccoli2Shell, also tracked as Node2Shell and HTTP2Shell. Tracked as CVE-2026-111497, this critical-severity flaw was found by Imperva Red Team and stems from an out-of-bounds write in the Brotli decoder, which expands data compressed using Google's widely used Brotli lossless compression algorithm. Successful exploitation lets unprivileged attackers use a maliciously crafted Brotli-compressed stream to trigger crashes or memory leaks and, in some cases, gain remote code execution on devices with vulnerable Brotli binaries or libraries. According to a Microsoft advisory published Sunday, attackers can also exploit this flaw to remotely escalate privileges on systems with unpatched .NET installations that use non-default configurations.
Dutch police arrest two men over AI-voiced bank fraud that allegedly used a fake app to steal card data from 170 victims, causing €380,000 in losses. Rotterdam police have arrested two men over a new type of bank fraud that used AI-generated phone calls, a fake banking app, and NFC technology to steal bank card data. In just three weeks, the scheme allegedly cost 170 victims around €380,000. “Rotterdam police arrested two suspects accused of a new form of bank-helpdesk fraud. The operation allegedly caused around €380,000 in losses for 170 victims in just three weeks.” NL Times reports. “The suspects allegedly used AI-generated phone calls and a fake banking app to copy victims’ bank cards remotely, allowing accomplices to withdraw thousands of euros. Victims came from across the Netherlands and ranged in age; dozens were in their twenties and thirties.” The suspects allegedly used AI-generated calls to trick victims into believing their bank accounts were at risk. They then persuaded them to install a fake banking app and scan their bank cards with their phones. The app used NFC to capture card data, which accomplices could use to withdraw money. Victims came from across the Netherlands and included people of all ages, with dozens in their twenties and thirties. A 23-year-old man from Vaassen, in Gelderland, is suspected of developing the technology and directing the group. A 25-year-old from Ede, also in Gelderland, is suspected of coordinating the operation. On Tuesday, a Rotterdam court ordered both men to remain in custody for at least another 90 days while the investigation continues. The case started in mid-September, when Dutch banks reported the new fraud through the Electronic Crimes Task Force (ECTF). That’s a partnership of banks, police and prosecutors that shares information and expertise to fight financial and digital crime. Within days of consulting the task force, Rotterdam’s cybercrime team had identified the digital infrastructure used by the group. Investigators monitored the servers to understand how the operation worked. They traced the people behind the technology, the phone calls made to victims, and the cash withdrawals. The scam started with a recorded message warning victims about suspicious activity on their bank accounts. “The callers used artificial intelligence (AI) to produce dozens of recordings featuring different voices, banks, companies, and scenarios. Victims were asked to press 1 if they did not recognize the alleged activity.” states the report. “They were then connected to someone posing as a bank employee.” The message asked people to press 1 if they did not recognize the activity. They were then connected to someone pretending to be a bank employee. Following a prepared script, the caller pressured them to act quickly and take steps to block their bank cards. The fake employee told victims to download an app and hold their bank card against the phone to scan it. The criminals presented this as a way to secure the accounts. If a caller ever asks you to scan your card with an app, hang up and phone your bank on the number printed on the card. According to police, the app sent data from the card’s near-field communication (NFC) chip, the technology behind contactless payments, to an app run by an accomplice. That person waited at a cash machine or payment terminal and could withdraw thousands of euros without the victim realizing what was happening. “Police described this technical method as one they had not encountered before.” the report concludes. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, NFC)
This2Shell, That2Shell, Everything2Shell. That's pretty much how the last week went. Critical bugs that let attackers run code remotely are showing up everywhere. Hackers are scanning for targets, some flaws are already being used in attacks, and security teams have more urgent patches than they can keep up with. And that's not even the full story. A leaked key led to a software supply-chain
Author: Len Noe, Solutions Architect, BeyondTrust The first question on any incident bridge isn’t about why it happened--it’s whose credentials were used. In my experience, whoever can answer that credential question in the first hour sets the pace for everything after it: what to isolate, what to revoke, whom to notify, and how far the damage could have spread. The teams that can’t answer it spend the first day reconstructing their answer from logs that were never designed to provide it. That discipline is about to be tested by a new kind of actor. On October 16, 2026, the National Institute of Standards and Technology (NIST), the Cybersecurity and Infrastructure Security Agency (CISA), and the National Security Agency (NSA) jointly published ten voluntary practices for incident readiness and response when AI agents act in ways nobody directed.
A Chinese national was arraigned in California after being extradited from the Netherlands for his alleged involvement in a cryptocurrency investment scam that stole nearly $37 million from 174 victims in the United States. In these fraud schemes (also known as pig butchering or romance baiting scams), cybercriminals contact targets through social media, dating sites, and messaging apps, build trust, and lure them into fake investment schemes, stealing their money instead of investing the funds as promised. Prosecutors said that, together with accomplices in the United States and Cambodia, 44-year-old Zhen Zhao tricked victims into transferring large sums of money to attacker-controlled accounts, claiming that the funds would be invested in digital assets. The criminal ring Zhao was allegedly part of reached out to targets across the United States via unsolicited text messages, social media, phone calls, and even online dating services to gain their trust, promoting the fraudulent digital asset investments and saying that the victims' funds' value increased, when, in fact, their money was stolen.
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