ICE is developing its own version of smart glasses, with facial recognition tied to various databases.
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ICE is developing its own version of smart glasses, with facial recognition tied to various databases.
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A new rowhammer attack gives complete control of NVIDIA CPUs.
On Thursday, two research teams, working independently of each other, demonstrated attacks against two cards from Nvidia’s Ampere generation that take GPU rowhammering into new—and potentially much more consequential—territory: GDDR bitflips that give adversaries full control of CPU memory, resulting in full system compromise of the host machine. For the attack to work, IOMMU memory management must be disabled, as is the default in BIOS settings.
“Our work shows that Rowhammer, which is well-studied on CPUs, is a serious threat on GPUs as well,” said Andrew Kwong, co-author of one of the papers. “GDDRHammer: Greatly Disturbing DRAM RowsCross-Component Rowhammer Attacks from Modern GPUs.” “With our work, we… show how an attacker can induce bit flips on the GPU to gain arbitrary read/write access to all of the CPU’s memory, resulting in complete compromise of the machine.”
Update Friday, April 3: On Friday, researchers unveiled a third Rowhammer attack that also demonstrates Rowhammer attacks on the RTX A6000 that achieves privilege escalation to a root shell. Unlike the previous two, the researchers said, it works even when IOMMU is enabled.
The second paper is GeForge: Hammering GDDR Memory to Forge GPU Page Tables for Fun and Profit:
…does largely the same thing, except that instead of exploiting the last-level page table, as GDDRHammer does, it manipulates the last-level page directory. It was able to induce 1,171 bitflips against the RTX 3060 and 202 bitflips against the RTX 6000.
GeForge, too, uses novel hammering patterns and memory massaging to corrupt GPU page table mappings in GDDR6 memory to acquire read and write access to the GPU memory space. From there, it acquires the same privileges over host CPU memory. The GeForge proof-of-concept exploit against the RTX 3060 concludes by opening a root shell window that allows the attacker to issue commands that run unfettered privileges on the host machine. The researchers said that both GDDRHammer and GeForge could do the same thing against the RTC 6000.
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Graduating should feel like a fresh start, a time when the whole world is at your fingertips.
Unfortunately, scammers often see graduates and think “student loans.” Or more specifically “student loan scams.”
As student loan payments resume or repayment plans shift, scammers move in fast; posing as loan servicers, promising forgiveness, or offering to “simplify” your loans for a fee.
The tricky part? These messages often look real.
That’s where tools like McAfee’s Scam Detector come in. It flags suspicious emails, texts, links, and even deepfake-style messages, helping you spot what’s real before you click, respond, or pay.
Here’s how to spot these scams and stay safe with McAfee:
Student loan consolidation itself is a legitimate option. It allows you to combine multiple federal loans into one, often to simplify payments.
Scammers exploit that confusion.
Instead of helping, they pose as government partners or “relief experts” and charge you for services you can do yourself…for free.
According to Federal Student Aid, you never have to pay for help managing or consolidating your federal student loans.
That’s the baseline truth most scams try to blur.
| Step | What Happens | Red Flags | What Scammers Want |
| 1. The Outreach | You get an email, text, or call about “loan consolidation” or “forgiveness” | Urgent tone, unfamiliar sender, “final notice” language | Your attention and quick reaction |
| 2. The Hook | They claim you qualify for a special program or limited-time offer | “Act now,” “guaranteed forgiveness,” or “new law” claims | Your trust |
| 3. The Ask | They request payment or personal info | Upfront fees, requests for FSA ID or bank info | Money + account access |
| 4. The Control | They may ask for authorization to manage your loans | Power of attorney forms, account takeover steps | Full control of your loan account |
Luckily, for McAfee+ Advanced users, they have access to Scam Detector which alerts users to suspicious emails, messages, links, and deepfakes that are often employed by scammers in these student loan fraud scenarios.
Scammers tend to recycle the same scripts. Federal Student Aid warns about messages like:
These messages are designed to create urgency, not clarity.
And importantly, they are not coming from the U.S. Department of Education or its partners.
This is exactly the kind of gray-area messaging that trips people up.
McAfee’s Scam Detector helps cut through that by:
Instead of relying on gut instinct alone, you get a second layer of analysis, right in the moment decisions happen.
Federal Student Aid highlights a few consistent warning signs, and they’re worth memorizing:
If a company asks for upfront or monthly fees to consolidate or manage your loans, that’s a major red flag.
Free help is always available through your official loan servicer.
No legitimate program guarantees instant or total loan forgiveness.
Most real programs require years of qualifying payments or specific eligibility criteria.
This is a hard line.
Your FSA ID is legally equivalent to your signature—and no legitimate organization will ask for your password.
Urgency is a tactic, not a requirement.
Scammers often claim deadlines tied to “new laws” or expiring programs to push quick decisions.
Requests for power of attorney or third-party authorization can allow scammers to:
You don’t need to become a cybersecurity expert. Just follow a few grounded rules:
Act quickly to limit damage:
Federal Student Aid also recommends reviewing your account activity and confirming no unauthorized changes were made.
Student loan consolidation scams don’t look like scams anymore.
They look like helpful emails. Official notices. Last chances.
That’s why protection today isn’t just about knowing the rules, it’s about having backup when something feels off.
With McAfee, you’re not left guessing. You can spot suspicious messages, understand the risks, and move forward with confidence, without handing your time, money, or identity to someone who doesn’t deserve it.
Because starting your post-grad life shouldn’t come with a scam attached.
The post The New Grad’s Guide to Student Loan Scams: How to Stay Safe appeared first on McAfee Blog.
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DarkSword is a sophisticated piece of malware—probably government designed—that targets iOS.
Google Threat Intelligence Group (GTIG) has identified a new iOS full-chain exploit that leveraged multiple zero-day vulnerabilities to fully compromise devices. Based on toolmarks in recovered payloads, we believe the exploit chain to be called DarkSword. Since at least November 2025, GTIG has observed multiple commercial surveillance vendors and suspected state-sponsored actors utilizing DarkSword in distinct campaigns. These threat actors have deployed the exploit chain against targets in Saudi Arabia, Turkey, Malaysia, and Ukraine.
DarkSword supports iOS versions 18.4 through 18.7 and utilizes six different vulnerabilities to deploy final-stage payloads. GTIG has identified three distinct malware families deployed following a successful DarkSword compromise: GHOSTBLADE, GHOSTKNIFE, and GHOSTSABER. The proliferation of this single exploit chain across disparate threat actors mirrors the previously discovered Coruna iOS exploit kit. Notably, UNC6353, a suspected Russian espionage group previously observed using Coruna, has recently incorporated DarkSword into their watering hole campaigns.
A week after it was identified, a version of it leaked onto the internet, where it is being used more broadly.
This news is a month old. Your devices are safe, assuming you patch regularly.
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Polymarket is a platform where people can bet on real-world events, political and otherwise. Leaving the ethical considerations of this aside (for one, it facilitates assassination), one of the issues with making this work is the verification of these real-world events. Polymarket gamblers have threatened a journalist because his story was being used to verify an event. And now, gamblers are taking hair dryers to weather sensors to rig weather bets.
There’s also insider trading: a lot of it.
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You’re scrolling through Facebook or TikTok and see it.
A flash sale from a brand you recognize. A limited-time investment opportunity. A job posting that promises quick money.
The ad has comments. The account looks polished. Maybe someone you follow even liked it.
So you click.
From there, things move fast. You’re pushed to act quickly, enter your information, or send payment before the “deal” disappears. And just like that, the money is gone or your account is compromised.
This isn’t an edge case anymore. According to new FTC data, nearly 30% of people who reported losing money to a scam in 2025 said it started on social media, with total losses hitting $2.1 billion.
That’s why McAfee+ Advanced includes comprehensive protection designed to help you spot and stop scams at every step, including McAfee’s Scam Detector, which flags suspicious links and messages and explains why they may be risky, along with identity and privacy tools that help protect your information if a scam slips through.
A social media ad scam is when scammers use paid ads, fake profiles, or hijacked accounts on platforms like Facebook, Instagram, or TikTok to promote fake products, services, or investment opportunities in order to steal money or personal information.
| Step | What happens | What to do | How McAfee helps |
| 1 | You see an ad, post, or DM promoting a deal, job, or investment | Don’t engage immediately, even if it looks legitimate | Scam Detector flags suspicious links and messages before you interact |
| 2 | The ad links to a website or moves you into DMs | Avoid clicking unfamiliar links or continuing off-platform | Safe Browsing helps block risky or newly created websites |
| 3 | You’re pressured to act quickly or “secure your spot” | Slow down and verify the company independently | Scam Detector explains urgency tactics and why they’re risky |
| 4 | You’re asked to pay, share login info, or download something | Never send money or credentials based on a social media interaction | Identity Monitoring helps protect your personal data if exposed |
| 5 | The product never arrives, the investment disappears, or your account is compromised | Report the scam and secure your accounts immediately | Personal Data Cleanup and monitoring help reduce ongoing exposure |
And that is the first part of This Week in Scams! This Friday we’re taking a different format to talk about this new FTC data and all that it reveals.
Let’s keep digging in:
New data from the FTC shows just how dominant social media has become in the scam landscape.
| Category | What to know |
| Most common scams | Shopping scams lead, with over 40% of victims reporting purchases from social media ads that never arrived |
| Most costly scams | Investment scams drive the biggest losses, often starting with ads or group chats showing fake success |
| What’s changing | Scammers are using platform tools like ads, targeting, and profile data to reach people more precisely than ever |
| Platform | How scams typically start | What to watch for |
| Ads, Marketplace listings, hacked accounts | Fake stores, duplicate listings, urgent purchase pressure | |
| Sponsored posts, influencer impersonation | “Limited drop” scams, fake brand collaborations | |
| TikTok | Ads, stolen videos/profiles, comment links, bio links, | “Get rich quick” schemes, external link funnels, reselling via TikTok |
| Group chats, investment communities | Fake testimonials, coordinated pressure to invest |
McAfee+ Advanced gives you multiple layers working together so you are not left figuring it out after the damage is done:
Our advice based on this week’s scams and schemes:
And we’ll be back next week with more scams making headlines.
The post Ad Impersonation Scams and Record-Breaking Social Media Fraud Losses: This Week in Scams appeared first on McAfee Blog.
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Someone pleaded guilty to secretly working for a ransomware gang as he negotiated ransomware payments for clients.
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A Brazilian tech firm that specializes in protecting networks from distributed denial-of-service (DDoS) attacks has been enabling a botnet responsible for an extended campaign of massive DDoS attacks against other network operators in Brazil, KrebsOnSecurity has learned. The firm’s chief executive says the malicious activity resulted from a security breach and was likely the work of a competitor trying to tarnish his company’s public image.
An Archer AX21 router from TP-Link. Image: tp-link.com.
For the past several years, security experts have tracked a series of massive DDoS attacks originating from Brazil and solely targeting Brazilian ISPs. Until recently, it was less than clear who or what was behind these digital sieges. That changed earlier this month when a trusted source who asked to remain anonymous shared a curious file archive that was exposed in an open directory online.
The exposed archive contained several Portuguese-language malicious programs written in Python. It also included the private SSH authentication keys belonging to the CEO of Huge Networks, a Brazilian ISP that primarily offers DDoS protection to other Brazilian network operators.
Founded in Miami, Fla. in 2014, Huge Networks’s operations are centered in Brazil. The company originated from protecting game servers against DDoS attacks and evolved into an ISP-focused DDoS mitigation provider. It does not appear in any public abuse complaints and is not associated with any known DDoS-for-hire services.
Nevertheless, the exposed archive shows that a Brazil-based threat actor maintained root access to Huge Networks infrastructure and built a powerful DDoS botnet by routinely mass-scanning the Internet for insecure Internet routers and unmanaged domain name system (DNS) servers on the Web that could be enlisted in attacks.
DNS is what allows Internet users to reach websites by typing familiar domain names instead of the associated IP addresses. Ideally, DNS servers only provide answers to machines within a trusted domain. But so-called “DNS reflection” attacks rely on DNS servers that are (mis)configured to accept queries from anywhere on the Web. Attackers can send spoofed DNS queries to these servers so that the request appears to come from the target’s network. That way, when the DNS servers respond, they reply to the spoofed (targeted) address.
By taking advantage of an extension to the DNS protocol that enables large DNS messages, botmasters can dramatically boost the size and impact of a reflection attack — crafting DNS queries so that the responses are much bigger than the requests. For example, an attacker could compose a DNS request of less than 100 bytes, prompting a response that is 60-70 times as large. This amplification effect is especially pronounced when the perpetrators can query many DNS servers with these spoofed requests from tens of thousands of compromised devices simultaneously.
A DNS amplification and reflection attack, illustrated. Image: veracara.digicert.com.
The exposed file archive includes a command-line history showing exactly how this attacker built and maintained a powerful botnet by scouring the Internet for TP-Link Archer AX21 routers. Specifically, the botnet seeks out TP-Link devices that remain vulnerable to CVE-2023-1389, an unauthenticated command injection vulnerability that was patched back in April 2023.
Malicious domains in the exposed Python attack scripts included DNS lookups for hikylover[.]st, and c.loyaltyservices[.]lol, both domains that have been flagged in the past year as control servers for an Internet of Things (IoT) botnet powered by a Mirai malware variant.
The leaked archive shows the botmaster coordinated their scanning from a Digital Ocean server that has been flagged for abusive activity hundreds of times in the past year. The Python scripts invoke multiple Internet addresses assigned to Huge Networks that were used to identify targets and execute DDoS campaigns. The attacks were strictly limited to Brazilian IP address ranges, and the scripts show that each selected IP address prefix was attacked for 10-60 seconds with four parallel processes per host before the botnet moved on to the next target.
The archive also shows these malicious Python scripts relied on private SSH keys belonging to Huge Networks’s CEO, Erick Nascimento. Reached for comment about the files, Mr. Nascimento said he did not write the attack programs and that he didn’t realize the extent of the DDoS campaigns until contacted by KrebsOnSecurity.
“We received and notified many Tier 1 upstreams regarding very very large DDoS attacks against small ISPs,” Nascimento said. “We didn’t dig deep enough at the time, and what you sent makes that clear.”
Nascimento said the unauthorized activity is likely related to a digital intrusion first detected in January 2026 that compromised two of the company’s development servers, as well as his personal SSH keys. But he said there’s no evidence those keys were used after January.
“We notified the team in writing the same day, wiped the boxes, and rotated keys,” Nascimento said, sharing a screenshot of a January 11 notification from Digital Ocean. “All documented internally.”
Mr. Nascimento said Huge Networks has since engaged a third-party network forensics firm to investigate further.
“Our working assessment so far is that this all started with a single internal compromise — one pivot point that gave the attacker downstream access to some resources, including a legacy personal droplet of mine,” he wrote.
“The compromise happened through a bastion/jump server that several people had access to,” Nascimento continued. “Digital Ocean flagged the droplet on January 11 — compromised due to a leaked SSH key, in their wording — I was traveling at the time and addressed it on return. That droplet was deprecated and destroyed, and it was never part of Huge Networks infrastructure.”
The malicious software that powers the botnet of TP-Link devices used in the DDoS attacks on Brazilian ISPs is based on Mirai, a malware strain that made its public debut in September 2016 by launching a then record-smashing DDoS attack that kept this website offline for four days. In January 2017, KrebsOnSecurity identified the Mirai authors as the co-owners of a DDoS mitigation firm that was using the botnet to attack gaming servers and scare up new clients.
In May 2025, KrebsOnSecurity was hit by another Mirai-based DDoS that Google called the largest attack it had ever mitigated. That report implicated a 20-something Brazilian man who was running a DDoS mitigation company as well as several DDoS-for-hire services that have since been seized by the FBI.
Nascimento flatly denied being involved in DDoS attacks against Brazilian operators to generate business for his company’s services.
“We don’t run DDoS attacks against Brazilian operators to sell protection,” Nascimento wrote in response to questions. “Our sales model is mostly inbound and through channel integrator, distributors, partners — not active prospecting based on market incidents. The targets in the scripts you received are small regional providers, the vast majority of which are neither in our customer base nor in our commercial pipeline — a fact verifiable through public sources like QRator.”
Nascimento maintains he has “strong evidence stored on the blockchain” that this was all done by a competitor. As for who that competitor might be, the CEO wouldn’t say.
“I would love to share this with you, but it could not be published as it would lose the surprise factor against my dishonest competitor,” he explained. “Coincidentally or not, your contact happened a week before an important event – one that this competitor has NEVER participated in (and it’s a traditional event in the sector). And this year, they will be participating. Strange, isn’t it?”
Strange indeed.
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Researchers have reverse-engineered a piece of malware named Fast16. It’s almost certainly state-sponsored, probably US in origin, and was deployed against Iran years before Stuxnet:
“…the Fast16 malware was designed to carry out the most subtle form of sabotage ever seen in an in-the-wild malware tool: By automatically spreading across networks and then silently manipulating computation processes in certain software applications that perform high-precision mathematical calculations and simulate physical phenomena, Fast16 can alter the results of those programs to cause failures that range from faulty research results to catastrophic damage to real-world equipment.”
Another news article.
Lots of interesting details at the links.
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That’s a lot. No, it’s an extraordinary number:
Since February, the Firefox team has been working around the clock using frontier AI models to find and fix latent security vulnerabilities in the browser. We wrote previously about our collaboration with Anthropic to scan Firefox with Opus 4.6, which led to fixes for 22 security-sensitive bugs in Firefox 148.
As part of our continued collaboration with Anthropic, we had the opportunity to apply an early version of Claude Mythos Preview to Firefox. This week’s release of Firefox 150 includes fixes for 271 vulnerabilities identified during this initial evaluation.
As these capabilities reach the hands of more defenders, many other teams are now experiencing the same vertigo we did when the findings first came into focus. For a hardened target, just one such bug would have been red-alert in 2025, and so many at once makes you stop to wonder whether it’s even possible to keep up.
Our experience is a hopeful one for teams who shake off the vertigo and get to work. You may need to reprioritize everything else to bring relentless and single-minded focus to the task, but there is light at the end of the tunnel. We are extremely proud of how our team rose to meet this challenge, and others will too. Our work isn’t finished, but we’ve turned the corner and can glimpse a future much better than just keeping up. Defenders finally have a chance to win, decisively.
They’re right. Assuming the defenders can patch, and push those patches out to users quickly, this technology favors the defenders.
News article.
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