BrianFagioli writes: 1Password has launched a Claude integration that allows the AI agent to sign in to websites using credentials stored in a 1Password vault. The password manager says Claude never sees the password or one-time code. Instead, users approve each request, and 1Password injects the credentials directly into the target website while locking down access to the rest of the vault. The design appears safer than simply handing passwords to an AI model, but it does not remove every risk. Once Claude is authenticated, it may still be able to view private data, change settings, place orders, or perform other actions available inside the account. Users may want to limit the feature to low-risk tasks until browser-based agents become more predictable.

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"Are you armed?!" the police officer screamed. "Get out of the car!" A writer for the car-news site The Drive describes how "a technological chain linking surveillance cameras, AI, and law enforcement... led to me and my wife being surrounded by police, hands on their guns, in a Kohl's parking lot in suburban Minnesota." After dropping off our Amazon returns, we'd just gotten back in the Range Rover and reversed maybe two feet out of the spot when four cop cars came flying out of nowhere and boxed us in... The Plymouth Police Department had been tracking me for days using Flock license plate cameras, waiting for the right moment to strike, because they thought I'd stolen the Range Rover. And the reason I was ID'd as a dangerous car thief was a simple data error made 2,000 miles away in California, creating an edge case within an edge case that Flock's AI camera network was unable to handle... "The plates on this car are stolen," Officer Ganshyn said... This made absolutely no sense. Car companies keep meticulous track of the fleets they loan out to the media. The vehicles all have special manufacturer or dealer plates that are logged every time one enters or exits... The New Jersey plates that were allegedly stolen from the LA dealer were 34 03 DTM, not 34 10 DTM. But when the police report was created and the plate was entered into Flock's system, it was just recorded as 34 DTM. Just the five large characters, no little number in the middle... Flock's AI tech wasn't registering that non-standard little number when it began picking up the Range Rover around town... I connected the final dot. A lot of vehicles in [Range Rover manufacturer] JLR's media fleet have a New Jersey manufacturer plate with the same alphanumeric structure — 34 ## DTM — and Officer Ganshyn observed that meant it was now a nationwide issue. Anywhere a police department has a partnership with Flock, any other JLR-owned car with the same plate structure is going to get flagged as stolen. In fact, four other 34 ## DTM cars were being tracked around Minnesota that week, according to Officer Ganshyn. I was just the first one to get nabbed. The only way to stop it would be for the LAPD to correct their initial report and update Flock's system, which Jaguar Land Rover was now racing to make happen following the phone call. Still, he warned me to drive straight home, park the Range Rover, and leave it there. If I were to cross into the neighboring town, I'd probably get flagged again and go through this entire ordeal again with a different set of officers. His parting words were ominous: "You're lucky we're in Plymouth. If you were in Minneapolis, they definitely would've come at you with guns drawn." Ironically, even the original license plate wasn't stolen either, the article points out. It was reported misplaced during a Los Angeles photo shoot, and "The corporation had to report the plate as lost to law enforcement," according to the police report — and even then, the plate "was reported as NJ 34DTM instead of NJ 3403DTM." The author's conclusion? "Once these systems have you in their crosshairs, there's pretty much only one way it can go... A simple data-entry error, magnified and broadcast nationwide by a growing surveillance network operated through an opaque partnership between a private company and public agencies, led police to identify me as a car thief and set up a sting to take me down. I mean, they even had a drone flying overhead during the 'bust'... "Thank God our kids weren't with us." Thanks to long-time Slashdot reader sinij for sharing the article.

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Meta is rolling out an update that will disable the camera on its smart glasses if the device detects that someone has tampered with or destroyed the privacy LED. "The update is meant to address modders who have taken actions such as physically drilling into the LED light," reports The Verge. "Meta has previously tried to discourage tampering with the LED light. For example, starting with its second generation glasses, blocking the light with tape or other objects will trigger a prompt asking users to uncover the recording light. However, many modders have found various workarounds for that particular measure."

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A criminal complaint against alleged Scattered Spider member Peter Stokes revealed that Microsoft can associate Windows activity with a persistent "Global Device ID," which investigators used to link his PC to online activity connected to a hack. While unique device IDs are common, the case has raised privacy concerns because the identifier can apparently persist across updates, has no simple opt-out, and may allow Microsoft to connect a Windows installation to activity on third-party services. PCMag reports: Last week, the U.S. announced it had extradited 19-year-old Peter Stokes from Europe for allegedly being a member of the notorious hacking group Scattered Spider. But the case stands out because Microsoft played a key role in linking Stokes to the suspected hacking crimes, according to an unsealed criminal complaint. Stokes allegedly hacked an unnamed luxury jewelry retailer in May 2025 while using a VPN. The 39-page criminal complaint shows the FBI used Microsoft records to discover that his IP address was associated with a Microsoft device identifier known as Global Device ID (GDID). "According to a Microsoft representative, a Global Device Identifier in the Windows ecosystem is a persistent, device-level identifier designed to uniquely identify an installation of a Windows operating system on a device, either a physical device (e.g., a mobile phone or laptop) or virtual machine, across certain Microsoft services and scenarios," the complaint explains. The global device ID isn't exactly surprising, given that it's standard practice to assign a unique ID to each account or device so a tech provider can recognize and distinguish between them. But the complaint reveals Microsoft can associate the GDID with third-party services and the timing as well, giving Redmond a way to theoretically track a user's online activity. In other words, Redmond might be able to track the online activity of your Windows PC without third-party browser cookies. Stokes was discovered exploiting a web development tool called ngrok to bypass the jewelry retailer's network defenses. The complaint says Microsoft had records showing that on May 12, 2025, at 19:21 UTC, the GDID associated with Stokes' computer "accessed, among other ngrok pages, 'https://dashboard[.]ngrok.com/signup,' the ngrok page to set up an ngrok account." The document adds that Microsoft records also showed the GDID accessing "multiple sites" from servers at Tzulo, a web hosting provider, to help pull off the hack. Hence, the fact that federal investigators used the Microsoft identifier to nab a suspected hacker is raising concerns that it could be abused for other surveillance purposes. "Microsoft Windows is surveillance software," cybersecurity expert Matthew Hickey alleged in a tweet.

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An anonymous reader quotes a report from Ars Technica: Anthropic quickly removed a tracker secretly monitoring Claude Code users in China after a security researcher exposed the hidden code and condemned the spyware-like tracking as a "serious breach of user trust." Last week, a web developer known as "Thereallo" was researching privacy issues in Claude Code and was shocked to find that the AI firm was using "prompt steganography" to hide code that tracks Chinese users "in plain sight." This code wasn't malicious, but it was sending information to Anthropic that most users wouldn't detect, relying on shorthand markers to quietly flag users' timezone, proxy, and potential connection to Chinese AI labs that Anthropic has accused of distillation attacks. On X, Anthropic engineer Thariq Shihipar confirmed that the tracker was added to Claude Code as an "experiment" in March. According to Shihipar, the code "was meant to prevent account abuse from unauthorized resellers and protect against distillation." Regarding the former, The Washington Post found unauthorized retailers have sold access to free models for $1 a month, and pro subscriptions that can cost $100 monthly sell for "as little as $12." Supposedly, Anthropic has "actually been meaning to take this down for a while," Shihipar said of the hidden code, because engineers have "landed stronger mitigations since then." Privacy advocates were not happy with the explanation, though, warning that the code is evidence that Anthropic is willing to cross lines to surveil users. That's perhaps especially surprising, considering that Anthropic riled the Trump administration by refusing to allow the US government to use Claude to surveil US users. The AI firm has since sued the White House over the clash. The Post suggested that the tracker incident is a sign that US firms like Anthropic are taking "increasingly aggressive measures" to block Chinese AI firms from copying their models. A more defensive stance has apparently become critical. In the past year, Chinese firms have "consistently matched" US firms' model capabilities "within months," the Post reported. Most recently, "a new, free AI model from Chinese company Zhipu AI was better at finding computer vulnerabilities than Anthropic's Claude Opus 4.8 model, which was released in May," the Post reported.

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An anonymous reader quotes a report from TechCrunch: WhatsApp this week started rolling out username reservations ahead of the broader launch planned later this year. The feature -- which lets people find and message each other by handle instead of phone number -- is already raising impersonation concerns, drawing scrutiny from security experts and regulators in India, the app's largest market, with more than 500 million users. The rollout marks a shift in how people identify one another on WhatsApp. Instead of relying on phone numbers as the primary identifier, users will increasingly interact through platform-managed usernames, a change that Meta says improves privacy but that critics argue could create new opportunities for impersonation. [...] Asked about how it protects against impersonation, Meta told TechCrunch it reserves usernames for public figures, government entities, and "some variations" of those names so only the legitimate owner can claim them. The company did not explain, however, how it decides which lookalike usernames get proactively reserved and which don't. The concerns have already reached regulators in India, where cyber fraud schemes frequently exploit messaging platforms to impersonate police, banks, and government officials. [...] Rachel Tobac, chief executive of SocialProof Security, called usernames a net privacy gain because they reduce the need to share phone numbers, which can expose users to SIM-swap attacks, phishing, and account takeovers. Still, she said, lookalike usernames still create opportunities for impersonation. "Ultimately, usernames are a great idea to avoid leaking your phone number to folks you don't know, but it's important to verify identity with the username function too," Tobac told TechCrunch. Her advice for most users: Pick a username that isn't easily guessable, so it's harder for attackers to find you, message you cold, or harass and spam you. [...] The Mozilla Foundation said the introduction of usernames is likely to bring new tradeoffs. "Increased scams and impersonation from fake handles are potentially a big one," it told TechCrunch. "Checking a phone number can be a useful verification tool, but these harms are also permitted by the platform's fundamental design choices." Mozilla also flagged a broader interoperability question -- one worth logging if you're building on top of, or competing with, Meta's ecosystem. While letting users claim their existing Facebook and Instagram usernames may cut down on impersonation, it also shows how easily Meta can stitch identity together across its own apps, even as users still can't take that identity, or their contacts, to a rival platform. For now, WhatsApp says it is taking a gradual approach to the rollout. "We're taking our time and listening to feedback so that when it rolls out later this year we get it right," the company said in its FAQ.

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LastPass says hackers stole customers' personal information, support case records, and sales data by breaching market research partner Klue. The password manager told TechCrunch that its own systems and password vaults were unaffected. However, the hackers used their access to obtain "reams of data about LastPass customers," the report says. From the report: In a blog post that shared information about the incident, LastPass said the hackers took customers' names, phone numbers, email addresses, and physical addresses, as well as customer support case data and sales-related data. It's not yet known what was in the contents of customer support tickets, although they likely contain fragments of potentially private or sensitive information. Customers typically contact customer service when they are having a billing issue or need assistance in gaining access to their accounts. Past incidents involving customer support tickets have included credentials and government-issued identity documents. The last data breach LastPass reported was in 2022, when hackers stole the company's entire store of customer password vaults.

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Meta has paused its Model Compatibility Initiative that tracked employee mouse movements, clicks, keystrokes, and screen content to train AI agents, after some of its collected data became accessible to more employees than intended. Meta says it has no evidence the information was improperly accessed and will not restart the program until it is confident in its safeguards. Wired reports: Meta rolled out the Model Compatibility Initiative (MCI) tool in April to US employees. The tool "collects computer inputs such as mouse movements, click locations and keystrokes, as well as screen content," according to workers who have been petitioning against it over privacy, security, and personal liberty concerns. When MCI launched, employees couldn't opt out, but that changed to a limited degree after workers protested. Meta executives have repeatedly defended the data-gathering project, saying it was necessary to train AI systems to operate computer software the way humans do and that employees were the best examples for the artificial intelligence to learn from. On Monday, a Meta engineer issued an internal security notice stating that databases filled with information gathered by MCI had been exposed to anyone inside the company. A former employee actively involved in pushing back against MCI describes the lapse as "a mess" -- and one that employees had expected would occur. "When workers raised concerns, leadership doubled down and failed to acknowledge the risks workers raised about the safety and privacy of worker and customer data," the person says. "Leadership has clearly created an authoritarian environment where workers are no longer respected or heard." But after critical comments poured into internal forums on Monday expressing frustration about the security issue, Meta shocked some of its staff by pausing MCI altogether, telling WIRED about the development several hours before announcing it to employees. A few workers told WIRED they were confused in the meantime because the tool was continuing to run on their laptops. Late on Monday, Stephane Kasriel, a Meta vice president overseeing AI research, announced the pause and told staff that the security issue had been discovered on June 18 and addressed within four hours. But the initial fix didn't stick and access to the data had to be further locked down. The issue made "some MCI-derived data" accessible to more people than intended, he wrote, without elaborating.

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An anonymous reader shared this report from the Associated Press: Officials in Kansas City, Missouri, are preparing to equip cameras on some public buses with facial recognition software capable of identifying passengers who appear on a list of banned riders or missing persons. Supporters and opponents alike view the effort as a major litmus test for tapping the AI-powered software on a U.S. public transportation system, positioning Kansas City as the latest epicenter of a fierce debate over whether the safety benefits of artificial intelligence are worth the privacy costs. "The idea of running face recognition on a camera that is pointed on live spaces in public is a line that until recently has never really been crossed in the last 25 years," said Jay Stanley, senior policy analyst for the Project on Speech, Privacy and Technology at the American Civil Liberties Union. The state of Missouri declined to help fund the project as expected due to concerns with the facial recognition component. Still, the city is pushing ahead with local and federal money, said Tyler Means, chief mobility and strategy officer at the Kansas City Transportation Authority. "Privacy is always a tricky thing," Means said. "We've always had cameras on our buses. It's just new technology. I think in time it'll smooth over and people will realize, 'Well, it didn't really feel any different'...." Images captured by cameras aboard the buses would immediately be checked against any active alerts, generated when a missing person, banned rider or someone on a law enforcement watch list designated by the transportation authority is identified... After the buses return to the depot, the transportation authority would archive the regular video footage on a local server for up to five years. The company partnering with Kansas City to run the cameras "started using live facial recognition years ago to alert nursing homes when residents left the building," according to the article, and then "brought the technology to correctional institutions and schools." But this is its first attempt at bringing its cameras onto public transportation. The article also includes this quote from Will Owen, communications director for the Surveillance Technology Oversight Project. "City residents should not be guinea pigs for transit systems to test Silicon Valley's latest unproven, biased surveillance tech."

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Reuters reports a cyber extortion group has claimed responsibility for breaching Novo Nordisk's network, stealing roughly 1.3 terabytes of data, including source code, drug research, clinical-trial records, employee and physician information, production-system details, and internal AI model data. The group says it's exploring selling parts of the data after unsuccessfully demanding $25 million from the company. From the report: FulcrumSec, a cyber extortion group that emerged in October 2025, said in a long message posted to its website that it spent more than two months in Novo Nordisk's networks stealing data. It said that data included company source code, proprietary information on released and unreleased drugs, trial data, employee, doctor and patient data, information related to company processing facilities and internal AI model information. [...] FulcrumSec told Reuters in an email that Novo Nordisk representatives contacted the group on June 3, roughly 48 hours after the group's initial contact to unnamed company executives. The company used a random Proton Mail email address sent to email addresses that FulcrumSec used in its initial outreach, and confirmed it was the company by requesting specific files for verification only the company would know about. The FulcrumSec representative also said that the group would prefer not to sell data, "as open sourcing it is a more effective deterrent for future companies to avoid paying." [...] FulcrumSec said it would not share some of the data it stole, including information on thousands of company employees and physicians, and roughly 11,500 pseudonymized clinical trial patients. The group said it also would withhold data related to operational technology and software used to interact with sensors and machinery at Novo Nordisk production facilities as part of its "harm-reduction strategy." A Novo Nordisk spokesperson said in an email that the company "is aware of claims that data allegedly copied externally without authorization from our systems has been published online. We take this matter seriously and maintain continued operations of our main platforms. We are in contact with the relevant authorities."

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alternative_right shares a report from The Hill: The FBI released an urgent security warning to the public about a fast-acting scam targeting Microsoft 365 users on Teams, Outlook and OneDrive. The agency warned that the hacking platform Kali365 seeks out OAuth device codes, allowing scammers to sneak past multi-factor authentication codes, and without the need for a password, to access Microsoft accounts. Scammers will send a phishing email impersonating a trusted document-sharing service with a device code and instructions on how to verify, according to the FBI. "Kali365 lowers the barrier of entry, providing less-technical attackers access to AI-generated phishing lures, automated campaign templates, real-time targeted individual/entity tracking dashboards, and OAuth token capture capabilities," the FBI stated. The platform is sold to scammers with a $250 per month subscription. The FBI, which first detected Kali365 in April, described the hacking platform as an "emerging Phishing-as-a-Service platform." Hackers with limited skills can access advanced phishing tools through the platform, according to NordPass.

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Last Thursday, Wired reported that Meta had quietly embedded an unreleased facial recognition system called NameTag into software installed on millions of phones. In a follow-up report, Wired says the tech giant has now removed the face-recognition-related code, while saying "no final decision" has been made about whether the feature will launch. From the report: On Thursday, WIRED reported that Meta had quietly integrated substantial portions of the NameTag system into the Meta AI app. Though never publicly enabled, the feature was designed to convert faces captured by the glasses into unique biometric signatures, commonly known as faceprints, and compare them against a database of faceprints stored on the user's device. WIRED also found that faces the system failed to recognize were cropped, indexed, and stored locally for future processing. NameTag first surfaced in February, when The New York Times, citing internal Meta documents, reported that the company was developing face recognition for its smart glasses and weighing a launch as soon as this year. One memo reportedly described releasing it during a "dynamic political environment," when privacy and civil liberties advocates would be distracted. Last week, WIRED reported that much of NameTag's machinery was already built into the Meta AI app, downloaded by millions of users, as early as January, even as Meta publicly said it had made no final decision about face recognition. After WIRED's report, Stone dismissed the findings, writing that the company couldn't answer questions about how the system would work because "the feature does not exist." Andrew Bosworth, Meta's chief technology officer, called the reporting "incredibly misleading" and "absolutely dishonest." [...] The newly released version of Meta AI removes nearly all traces of the feature Meta said did not yet exist. Gone is the face-recognition software itself, along with the code that ran the NameTag recognition process and the "Person recognized" alert the app would have shown if someone were identified. The update also strips out a folder where the app would have stored the cropped images and biometric signatures of faces it captured but could not identify. [...] A few fragments of the NameTag system remain in the version of latest Meta AI, including an internal debug menu label and a dormant link meant to open a recognized person's profile. The leftover code points to parts of the system that are no longer there.

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"When Hugo Parra was arrested last year on felony charges, his pleas of innocence fell on deaf ears," reports the Times of San Diego: San Diego police had a description of the Alfa Romeo car he was riding in [but no license plate number] and a witness who identified him during a curbside lineup as the man who brandished a handgun in Golden Hill. They had also checked the city's automatic license plate camera system, run by the private company Flock, and got a "hit," substantiating the claim. The problem, says attorney Alex Coolman, was that Parra was five miles away from Golden Hill at the time of the crime, and the so-called hit from the license plate reader was captured before any police pursuit began. "This Flock hit was obviously the wrong car, as it could not have been in both places simultaneously," said Coolman, who represents Parra and the driver, 23-year-old Ariel Beltran. Despite the signs pointing to it being a different Alfa Romeo, police arrested Beltran and Parra... [An officer had informed dispatch that one of the men "matched the victim's description, other than having a different-colored hooded sweatshirt."] Parra spent nearly one month behind bars, missing Thanksgiving and other special events with his family, before the assault with a firearm and evasion charges were dropped. Parras says he was incarcerated with actual murderers, according to the article, and Parra and Beltran are now preparing to sue the city, seeking $1.5 million each in damages for civil rights violations and negligence. Their claim notes they'd driven past several other Flock cameras which officers could've used to corroborate their story (not to mention location data on their cell phones). Meanwhile, the article also notes that last month the Institute for Justice "identified at least 17 cases in the United States of officers allegedly using Automated License Plate Reader technology to keep tabs on partners, exes, and strangers who had caught their eye..."

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Slashdot reader Bruce66423 writes: A German court this week sentenced a member of the Red Army Faction — a far-left terrorist organisation that operated in West Germany in the 1970s and 1980s — to jail. [67-year-old Daniela Klettewas was sentenced to 13 years for armed robberies, according to the Guardian, and "she also faces trial for alleged involvement in three attacks in 1990 and 1994: a failed bombing in front of a bank, a shooting at the US embassy in Bonn and a 1993 bombing at a prison.".] She had remained hidden for decades, and the German police hadn't deployed facial recognition software to catch her. But according to the article a journalist did, to good effect. Is the ban on the police using it a good thing? Is it good that a journalist was able to track her down using it?

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An anonymous reader quotes a report from Gizmodo: In an era where Silicon Valley's conservatism is both expressed openly and becoming more intense by the day, it's strange to think that tech was once seen as a hive of liberalism. The right-wing nature of today's tech industry means that its products tend to also be seen as serving right-wing interests, either in their actual operation (like X's openly and unrepentantly right-wing chatbot Grok) or by the simple fact that their existence serves to enrich a small group of very powerful, very conservative people. But does it have to be this way? Can LLMs and AI agents find a place in the toolkit of progressive activist groups? The conviction that they can is the idea behind a new app called Outcry, which provides a chatbot designed specifically as a "private, on-device AI mentor for activists, organizers and movement builders." (There's also a web version, although it obviously lacks the privacy benefits of being entirely offline.) It's the brainchild of Occupy Wall Street co-creator Micah White, who recently wrote a blog post about the thinking behind the project. [...] Outcry's other distinguishing feature is that its dataset is entirely offline -- it's included with the download. According to the readme, the entire dataset is downloaded to your device at first launch, and stored in your library's Application Support directory. So, how effectively does Outcry serve as a guide for collective action? "I'd say that its information is pretty high-level and general, not least because its offline nature prevents it from accessing specific details not contained in its database," writes Gizmodo's Tom Hawking. He continued: "This app has the potential to be a really valuable resource, especially for people who are just beginning to become involved with activism and genuinely don't know where to begin -- and getting over that first step can be hard."

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An anonymous reader quotes a report from Cybernews: The technology giant Microsoft has been accused of leaking the data of civil servants working for the Netherlands' regulatory agencies to the US House of Representatives. The civil servants affected by the leak work at the Authority for Consumers and Markets (ACM) and the Dutch Data Protection Authority (AP), according to the NL Times. They are involved in implementing the Digital Services Act (DSA), the European Union regulation on online services, aimed at combating illegal content and protecting user rights. NL Times reports that Microsoft shared emails, minutes, and invitations sent by the civil servants without redacting their names in the documents. Willemijn Aerdts, Dutch State Secretary for Digital Economy and Sovereignty, said she discussed the allegations with US Ambassador to the Netherlands Joe Popolo. [...] The allegations against Microsoft further strengthen concerns over Europe's dependence on American technologies, which poses major risks to data privacy. Further reading: Netherlands Blocks US Takeover of Vital Digital Supplier

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Venmo is testing a major redesign that will make new users' payment posts viewable by their friends by default instead of being public. The Verge reports: It's a notable update for a platform that has struggled with privacy in the past. In 2021, BuzzFeed News tracked down President Joe Biden's Venmo account and the accounts of people in his inner circle because Venmo, at the time, had no way to keep your Venmo contacts private. It fixed that soon after. As part of the redesign, if you're a new user and you do want your posts to be public (or private just to you), you'll be able to set that as part of the new onboarding flow. You can also change your preference in settings after the fact; an updated screen for sending money will also show if that post is private, visible just to friends, or is visible publicly before you make the transaction.

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