Organizations repeatedly expose ports, reuse passwords, and skip patches, creating security gaps that attackers exploit for breaches. An industry veteran outlines ways to fix these common mistakes.
AI models often hallucinate or make costly mistakes when tasked with recommending software versions, upgrade paths, and security fixes — leading to significant technical debt.
Threat actors are targeting TikTok for Business accounts in a phishing campaign that prevents security bots from analyzing malicious pages. [...]
WhatsApp is rolling out multiple features designed to make the app easier to use, including AI-powered message replies and photo retouching, support for two accounts on iOS, and chat history transfer between iOS and Android devices. [...]
Multi-stage fraud attacks chain bots, proxies, and stolen credentials from signup to takeover. IPQS shows why correlating IP, device, identity, and behavior is critical to stop it. [...]
The Coruna exploit kit is an evolution of the framework used in the Operation Triangulation espionage campaign, which in 2023 targeted iPhones via zero-click iMessage exploits. [...]
Russian police arrested a Taganrog resident believed to be the owner of LeakBase, a major online forum used by cybercriminals to buy and sell stolen data and hacking tools. [...]
Third-party resellers and brokers foil transparency efforts and allow spyware to spread despite government restrictions, a study finds.
An Armenian suspect was extradited to the United States to face criminal charges for allegedly helping manage RedLine, one of the most prolific infostealer malware operations in recent years. [...]
A disgruntled data analyst decides that the best response to losing his contract is to steal the entire company payroll database and demand $2.5 million in Bitcoin - signing his extortion emails from a company called "Loot." Meanwhile, two people drive up to the entrance of the UK's nuclear submarine base at Faslane and politely ask if they can have a look around. Tourists? Spies? Something in between? All this and more in episode 460 of the "Smashing Security" podcast with cybersecurity veteran Graham Cluley, and special guest Jenny Radcliffe.
In December, the Trump administration signed an executive order that neutered states’ ability to regulate AI by ordering his administration to both sue and withhold funds from states that try to do so. This action pointedly supported industry lobbyists keen to avoid any constraints and consequences on their deployment of AI, while undermining the efforts of consumers, advocates, and industry associations concerned about AI’s harms who have spent years pushing for state regulation. Trump’s actions have clarified the ideological alignments around AI within America’s electoral factions. They set down lines on a new playing field for the midterm elections, prompting members of his party, the opposition, and all of us to consider where we stand in the debate over how and where to let AI transform our lives. In a May 2025 survey of likely voters nationwide, more than 70% favored state and federal regulators having a hand in AI policy. A December 2025 poll by Navigator Research found similar results, with a massive net +48% favorability for more AI regulation. Yet despite the overwhelming preference of both voters and his party’s elected leaders—Congress was essentially unanimous in defeating a previous state AI regulation moratorium—Trump has delivered on a key priority of the industry. The order explicitly challenges the will of voters across blue and red states, from California to South Dakota, scrambling political positions around the technology and setting up a new ideological battleground in the upcoming race for Congress. There are a number of ways that candidates and parties may try to capitalize on this emerging wedge issue before the midterms. In 2025, much of the popular debate around AI was cast in terms of humans versus machines. Advances in AI and the companies it is associated with, it is said, come at the expense of humans. A new model release with greater capabilities for writing, teaching, or coding means more people in those disciplines losing their jobs. This is a humanist debate. Making us talk to an AI customer-support agent is an affront to our dignity. Using AI to help generate media sacrifices authenticity. AI chatbots that persuade and manipulate assault our liberty. There is philosophical merit to these arguments, and yet they seem to have limited political salience. Populism versus institutionalism is a better way to frame this debate in the context of US politics. The MAGA movement is widely understood to be a realignment of American party politics to ally the Republican party with populism, and the Democratic party with defenders of traditional institutions of American government and their democratic norms. This frame is shattered by Trump’s AI order, which unabashedly serves economic elites at the expense of populist consumer protections. It is part of an ongoing courting process between MAGA and big tech, where the Trump political project sacrifices the interests of consumers and its populist credentials as it cozies up to tech moguls. We are starting to see populist resistance to this government/big tech alignment emerge on the local scale. People in Maryland, Arizona, North Carolina, Michigan and many other states are vigorously opposing AI datacenters in their communities, based on environmental and energy-affordability impacts. These centers of opposition are politically diverse; both progressives and Trump-supporting voters are turning out in force, influencing their local elected officials to resist datacenter development. This opposition to the physical infrastructure of corporate AI is so far staying local, but it may yet translate into a national and politically aligned movement that could divide the MAGA coalition. Any policy discussions about AI should include the individual harms associated with job loss, as employers seek to replace laborers with machines. It should also include the systemic economic risks associated with concentrated and supercharged AI investment, the democratic risks associated with the increased power in monopolistic and politically influential tech companies, and the degradation of civic functions like journalism and education by AI. In order for our free market to function in the public interest, the companies amassing wealth and profiting from AI must be forced to take ownership of, and internalize, these costs. The political salience of AI will grow to meet the staggering scale of financial investment and societal impact it is already commanding. There is an opportunity for enterprising candidates, of either political party, to take the mantle of opposing AI-linked harms in the midterm elections. Political solutions start with organizing, and broadening the base of political engagement around these issues beyond the locally salient topic of datacenters. Movement leaders and elected officials in states that have taken action on AI regulation should mobilize around the blatant industry capture, wealth extraction, and corporate favoritism reflected in the Trump executive order. AI is no longer just a policy issue for governments to discuss: it is a political issue that voters must decide on and demand accountability on.
GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. [...]
While US government sits out this year, EU officials are on the ground in San Francisco leading the conversations on today's top cybersecurity challenges.
Attacks leveraging the 'PolyShell' vulnerability in version 2 of Magento Open Source and Adobe Commerce installations are underway, targeting more than half of all vulnerable stores. [...]
Threat actors are evading phishing detection in campaigns targeting Microsoft accounts by abusing the no-code app-building platform Bubble to generate and host malicious web apps. [...]
A new info-stealing malware called Torg Grabber is stealing sensitive data from 850 browser extensions, more than 700 of them for cryptocurrency wallets. [...]
Publicly accusing an entity of a cyberattack could have negative consequences that organizations should consider before taking the plunge.
Citrix has patched two NetScaler ADC and NetScaler Gateway vulnerabilities, one of which is very similar to the CitrixBleed and CitrixBleed2 flaws exploited in zero-day attacks in recent years. [...]
A series of campaigns that began in August aim to defraud job candidates, using psychological tactics and data scraped from LinkedIn profiles.
Ten finalists will each have three minutes to make their case for being the most innovative, promising young security company of the year. Geordie AI wins the 2026 contest.