Switzerland says a ransomware attack on the non-profit health foundation Radix that involved data being stolen and encrypted had also affected the federal administration.
The Radix Foundation, a not-for-profit organisation active in the field of health promotion, has been the victim of a ransomware attack, it was confirmed on Monday. The criminals stole and encrypted data, which they then published on the darknet.
The foundation contacted the National Cybersecurity Centre (NCSC) after carrying out an initial analysis of the situation, it announced on Monday. Radix’s clientele also includes various administrative units of the federal administration.
The aim is to determine which services and data are actually affected by the cyber attack. At no time were the hackers able to penetrate the systems of the federal administration, as the Radix Foundation itself does not have such direct access, the centre pointed out.
An AI Researcher at Neural Trust has discovered a novel jailbreak technique that defeats the safety mechanisms of today’s most advanced Large Language Models (LLMs). Dubbed the Echo Chamber Attack, this method leverages context poisoning and multi-turn reasoning to guide models into generating harmful content, without ever issuing an explicitly dangerous prompt.
Unlike traditional jailbreaks that rely on adversarial phrasing or character obfuscation, Echo Chamber weaponizes indirect references, semantic steering, and multi-step inference. The result is a subtle yet powerful manipulation of the model’s internal state, gradually leading it to produce policy-violating responses.
In controlled evaluations, the Echo Chamber attack achieved a success rate of over 90% on half of the categories across several leading models, including GPT-4.1-nano, GPT-4o-mini, GPT-4o, Gemini-2.0-flash-lite, and Gemini-2.5-flash. For the remaining categories, the success rate remained above 40%, demonstrating the attack's robustness across a wide range of content domains.
The Echo Chamber Attack is a context-poisoning jailbreak that turns a model’s own inferential reasoning against itself. Rather than presenting an overtly harmful or policy-violating prompt, the attacker introduces benign-sounding inputs that subtly imply unsafe intent. These cues build over multiple turns, progressively shaping the model’s internal context until it begins to produce harmful or noncompliant outputs.
The name Echo Chamber reflects the attack’s core mechanism: early planted prompts influence the model’s responses, which are then leveraged in later turns to reinforce the original objective. This creates a feedback loop where the model begins to amplify the harmful subtext embedded in the conversation, gradually eroding its own safety resistances. The attack thrives on implication, indirection, and contextual referencing—techniques that evade detection when prompts are evaluated in isolation.
Unlike earlier jailbreaks that rely on surface-level tricks like misspellings, prompt injection, or formatting hacks, Echo Chamber operates at a semantic and conversational level. It exploits how LLMs maintain context, resolve ambiguous references, and make inferences across dialogue turns—highlighting a deeper vulnerability in current alignment methods.
A detailed analysis of a multi-stage card skimming attack exploiting outdated Magento software and fake image files.
In today’s post we’re going to review a sophisticated, multi-stage carding attack on a Magento eCommerce website. This malware leveraged a fake gif image file, local browser sessionStorage data, and tampered with the website traffic using a malicious reverse-proxy server to facilitate the theft of credit card data, login details, cookies, and other sensitive data from the compromised website.
The client was experiencing some strange behaviour on their checkout page, including clients unable to input their card details normally, and orders not going through. They contacted us for assistance. Thinking this would be a straightforward case of credit card theft instead what we found was actually a fascinating and rather advanced malware which we will explore in detail in this post.
In the last few days, many Tor relay operators - mainly hosting relay nodes on providers like Hetzner - began receiving abuse notices.
All the abuses reported many failed SSH login attempts - part of a brute force attack - coming from their Tor relays.
Tor relays normally only transport traffic between a guard and an exit node of the Tor network, and per-se should not perform any SSH connections to internet-facing hosts, let alone performing SSH brute force attacks.
Attackers can downgrade Windows kernel components to bypass security features such as Driver Signature Enforcement and deploy rootkits on fully patched systems.
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Web performance and security firm Cloudflare recently mitigated another record-breaking DDoS attack.
According to Matthew Prince, the company’s CEO, the attack peaked at 3.8 terabits per second (Tbps) and 2.14 billion packets per second (Pps). The attack was aimed at an unidentified customer of an unnamed hosting provider that uses Cloudflare services.
On July 15, 2024, Akamai prevented one of the largest distributed denial-of-service (DDoS) cyberattacks it has ever observed against a major financial services company in Israel.
The highly sophisticated, high-volume attack lasted almost 24 hours.
The attacker deployed larger-than-usual resources, indicating a serious risk for future attacks.
Other Israeli financial institutions reportedly suffered outages and downtimes on the same day, potentially due to the same type of attack and the same aggressor.