Cloudflare Reports Almost 7% of Internet Traffic Is Malicious

In its latest State of Application Security Report, Cloudflare says 6.8% of traffic on the internet is malicious, “up a percentage point from last year’s study,” writes ZDNet’s Steven Vaughan-Nichols. “Cloudflare, the content delivery network and security services company, thinks the rise is due to wars and elections. For example, many attacks against Western-interest websites are coming from pro-Russian hacktivist groups such as REvil, KillNet, and Anonymous Sudan.” From the report: […] Distributed Denial of Service (DDoS) attacks continue to be cybercriminals’ weapon of choice, making up over 37% of all mitigated traffic. The scale of these attacks is staggering. In the first quarter of 2024 alone, Cloudflare blocked 4.5 million unique DDoS attacks. That total is nearly a third of all the DDoS attacks they mitigated the previous year. But it’s not just about the sheer volume of DDoS attacks. The sophistication of these attacks is increasing, too. Last August, Cloudflare mitigated a massive HTTP/2 Rapid Reset DDoS attack that peaked at 201 million requests per second (RPS). That number is three times bigger than any previously observed attack.

The report also highlights the increased importance of application programming interface (API) security. With 60% of dynamic web traffic now API-related, these interfaces are a prime target for attackers. API traffic is growing twice as fast as traditional web traffic. What’s worrying is that many organizations appear not to be even aware of a quarter of their API endpoints. Organizations that don’t have a tight grip on their internet services or website APIs can’t possibly protect themselves from attackers. Evidence suggests the average enterprise application now uses 47 third-party scripts and connects to nearly 50 third-party destinations. Do you know and trust these scripts and connections? You should — each script of connection is a potential security risk. For instance, the recent Polyfill.io JavaScript incident affected over 380,000 sites.

Finally, about 38% of all HTTP requests processed by Cloudflare are classified as automated bot traffic. Some bots are good and perform a needed service, such as customer service chatbots, or are authorized search engine crawlers. However, as many as 93% of bots are potentially bad.

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Rite Aid Says Breach Exposes Sensitive Details of 2.2 Million Customers

Rite Aid, the third-largest U.S. drug store chain, reported it a ransomware attack that compromised the personal data of 2.2 million customers. The data exposed includes names, addresses, dates of birth, and driver’s license numbers or other forms of government-issued ID from transactions between June 2017 and July 2018.

“On June 6, 2024, an unknown third party impersonated a company employee to compromise their business credentials and gain access to certain business systems,” the company said in a filing. “We detected the incident within 12 hours and immediately launched an internal investigation to terminate the unauthorized access, remediate affected systems and ascertain if any customer data was impacted.” Ars Technica’s Dan Goodin reports: RansomHub, the name of a relatively new ransomware group, has taken credit for the attack, which it said yielded more than 10GB of customer data. RansomHub emerged earlier this year as a rebranded version of a group known as Knight. According to security firm Check Point, RansomHub became the most prevalent ransomware group following an international operation by law enforcement in May that took down much of the infrastructure used by rival ransomware group Lockbit.

On its dark web site, RansomHub said it was in advanced stages of negotiation with Rite Aid officials when the company suddenly cut off communications. A Rite Aid official didn’t respond to questions sent by email. Rite Aid has also declined to say if the employee account compromised in the breach was protected by multifactor authentication.

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Microsoft Unveils a Large Language Model That Excels At Encoding Spreadsheets

Microsoft has quietly announced the first details of its new “SpreadsheetLLM,” claiming it has the “potential to transform spreadsheet data management and analysis, paving the way for more intelligent and efficient user interactions.” You can read more details about the model in a pre-print paper available here. Jasper Hamill reports via The Stack: One of the problems with using LLMs in spreadsheets is that they get bogged down by too many tokens (basic units of information the model processes). To tackle this, Microsoft developed SheetCompressor, an “innovative encoding framework that compresses spreadsheets effectively for LLMs.” “It significantly improves performance in spreadsheet table detection tasks, outperforming the vanilla approach by 25.6% in GPT4’s in-context learning setting,” Microsoft added. The model is made of three modules: structural-anchor-based compression, inverse index translation, and data-format-aware aggregation.

The first of these modules involves placing “structural anchors” throughout the spreadsheet to help the LLM understand what’s going on better. It then removes “distant, homogeneous rows and columns” to produce a condensed “skeleton” version of the table. Index translation addresses the challenge caused by spreadsheets with numerous empty cells and repetitive values, which use up too many tokens. “To improve efficiency, we depart from traditional row-by-row and column-by-column serialization and employ a lossless inverted index translation in JSON format,” Microsoft wrote. “This method creates a dictionary that indexes non-empty cell texts and merges addresses with identical text, optimizing token usage while preserving data integrity.” […]

After conducting a “comprehensive evaluation of our method on a variety of LLMs” Microsoft found that SheetCompressor significantly reduces token usage for spreadsheet encoding by 96%. Moreover, SpreadsheetLLM shows “exceptional performance in spreadsheet table detection,” which is the “foundational task of spreadsheet understanding.” The new LLM builds on the Chain of Thought methodology to introduce a framework called “Chain of Spreadsheet” (CoS), which can “decompose” spreadsheet reasoning into a table detection-match-reasoning pipeline.

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Italy Reconsiders Nuclear Energy 35 Years After Shutting Down Last Reactor

Italian Prime Minister Giorgia Meloni plans to revive Italy’s nuclear energy sector, focusing on small modular reactors to be operational within a decade. He said that nuclear energy could constitute at least 11% of the country’s electricity mix by 2050. Semafor reports: Italy’s energy minister told the Financial Times that the government would introduce legislation to support investment in small modular reactors, which could be operational within 10 years. […] In Italy, concerns about energy security since Russia’s invasion of Ukraine have pushed the government to reconsider nuclear power, Bloomberg wrote. Energy minister Pichetto Fratin told the Financial Times he was confident that Italians’ historic “aversion” could be overcome, as nuclear technology now has “different levels of safety and benefits families and businesses.” In Italy, safety is also top of mind: The Chernobyl tragedy of 1986 was the trigger for it to cease nuclear production in the first place, and the 2011 Fukushima disaster reignited those concerns. As of April, only 51% of Italians approved of nuclear power, according to polls shared by Il Sole 24 Ore.

The plan to introduce small modular reactors in Italy could add to the country’s history of failure in nuclear energy, a former Italian lawmaker and researcher argued in Italian outlet Il Fatto Quotidiano, writing that these reactors are expensive and produce too little energy to justify an investment in them.They could also become obsolete within the next decade, the timeline for the government to introduce them, Italian outlet Domani added, and be overtaken by nuclear fusion reactors, which are more efficient and have “virtually no environmental impact.” Italy’s main oil company, Eni, has signed a deal with MIT spinout Commonwealth Fusion System, with the goal of providing the first operational nuclear fusion plant by 2030.

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