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LinkedIn Users
Cyber Security Cybersecurity Jobs Fake Job Fake Job Ads Linkedin Linkedin Hacks LinkedIn Users

How to Spot and Avoid LinkedIn Scams: A Complete Guide to Staying Safe Online

 

Most people trust LinkedIn for connecting careers, finding jobs, or growing businesses - yet that very trust opens doors for fraudsters. Because profiles often reveal detailed backgrounds, attackers pull facts straight from bios to craft believable tricks. Spotting odd requests or sudden offers helps block risks before they grow. Awareness matters, especially when messages seem too eager or oddly timed. 

Most people come across false job listings on LinkedIn at some point. Fake recruiter accounts tend to advertise positions offering large salaries, little work, fast placement, or overseas moves. Often, these deals turn out poorly once applicants get asked for private details or required to cover costs like setup fees, instruction modules, or tools. A different but frequent method relies on deceptive messages that mimic real notifications from the platform - these contain harmful web addresses meant to capture account passwords and access codes. 

One way attackers operate now involves tailored tactics, including spear-phishing. Studying someone's online activity helps them design messages appearing genuine and familiar. Sometimes these interactions shift from LinkedIn to apps such as WhatsApp or Telegram, avoiding detection more easily. Moving communication elsewhere raises serious concerns - it typically precedes deeper manipulation. Another trend gaining ground includes scams based on fake investments or romantic connections; here, confidence grows slowly until false money offers appear, frequently tied to digital currency. Watch out for certain red flags when using professional platforms. 

When messages push you to act fast, promise big rewards, or ask for private data, stay cautious. A profile showing few contacts, missing background, or odd job timelines might not be genuine. Confirm who you're dealing with by checking corporate sites - this basic move often gets ignored. Start smart - shielding your online presence begins with straightforward habits. Click only trusted links, since risky ones open doors to trouble. Two-step login adds a layer of safety, making breaches harder. Strong passwords matter; reusing them weakens protection. 

Staying inside LinkedIn messages helps keep exchanges secure. Sharing less personal detail lowers exposure quietly. Privacy controls fine-tune who sees what - adjust them often. Safety grows when small steps add up behind the scenes. Right away, cut contact if something feels off - then alert LinkedIn about the account. 

When financial data might be exposed, changing passwords fast becomes key, while also warning your bank without delay. Even as the platform expands, threats rise at the same pace, which means staying alert matters more than any tool. Awareness acts quietly but powerfully, standing between safety and harm.
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Residential Proxies
Cyber Security GreyNoise IP‑reputation Residential Proxies

Residential Proxies Evade IP Reputation Checks in 78% of 4 Billion Sessions

 

Residential proxy networks are now evading IP‑reputation‑based security controls in a majority of malicious sessions, greatly undercutting a core pillar of network defense. A recent analysis by cybersecurity intelligence firm GreyNoise found that residential‑proxy‑routed traffic escaped IP‑reputation checks in 78% of roughly 4 billion malicious sessions over a three‑month window. Attackers rely on ordinary home and mobile‑network IP addresses passed through these proxies, making it hard for defenders to distinguish malicious scans from legitimate user traffic.

How residential proxies work 

Residential proxies route traffic through real‑world consumer devices—home routers, mobile phones, and small‑business connections—owned by ordinary users or enrolled into third‑party bandwidth‑sharing schemes. Many of these IPs are short‑lived, appearing only once or twice in attacker logs before being rotated, which prevents reputation feeds from cataloging them in time. About 89.7% of the residential IPs involved in attacks are active for under a month, with only small fractions persisting beyond two or three months.

The main problem is that IP reputation typically tags long‑running or heavily abused addresses, yet most residential proxy IPs are highly transient and geographically scattered. GreyNoise’s data shows the attacking residential IPs come from 683 different ISPs, blending with normal customer traffic and diluting any clear “bad‑IP” signal. Because attackers mainly use these proxies for low‑volume network scanning and reconnaissance instead of direct exploits, traffic patterns look benign at the network layer, letting 78% of such sessions slip past reputation‑based filters.

The study points to China, India, and Brazil as major sources of residential‑proxy traffic, with usage patterns that mirror human behavior, such as a noticeable drop in activity at night. GreyNoise identifies two main ecosystems behind these proxies: IoT botnets and compromised consumer devices whose installed software—such as free VPNs and ad‑blocking apps—secretly sells the device’s bandwidth. SDKs embedded in these apps enroll consenting or unaware users into proxy networks that monetize idle home‑network capacity.

Implications and future defenses 

The high evasion rate means relying solely on IP reputation is no longer sufficient for detecting threats routed through residential proxies. GreyNoise recommends shifting toward behavior‑based detection, including tracking sequential probing from rotating residential IPs, blocking unsupported enterprise protocols from ISP‑facing networks, and persistently fingerprinting devices even when their IP changes. Security teams will need layered analytics—combining session‑level behavior, device profiles, and protocol anomalies—to stay effective as attackers continue to exploit the camouflage of residential‑proxy infrastructure.
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NVIDIA
AMD Corporations Cyber Security Intel NVIDIA

AMD Announces Plan to Acquire Intel in Unprecedented Industry Turn

 




Advanced Micro Devices has revealed plans to acquire long-time rival Intel Corporation, marking a dramatic reversal in one of the most enduring rivalries in the semiconductor industry.

The proposed transaction, structured entirely as a stock-based deal, signals a major shift in industry power. Once viewed as the underdog, AMD has now surpassed Intel in market valuation, and the acquisition would further cement that transition.

For over four decades, the relationship between the two companies has been defined by competition, imitation, legal disputes, and strategic overlap. AMD historically operated in Intel’s shadow, often positioning itself as a secondary supplier while attempting to challenge its dominance. In recent years, however, AMD has strengthened its position across multiple computing segments and improved investor confidence, while Intel has faced setbacks.

Intel’s struggles have included delays in manufacturing advancements, inconsistent product execution, and repeated strategic adjustments. These challenges have contributed to a broader shift in market perception, allowing AMD to close the gap and eventually move ahead in key areas.

The idea of AMD acquiring Intel would have seemed highly unlikely just a few years ago, given Intel’s long-standing dominance as the central force in the personal computing ecosystem. The potential merger now reflects how drastically that balance has changed.

If completed, integrating the two companies could present organizational and cultural challenges, given their long history as direct competitors. Leadership from AMD indicated that the combined entity could accelerate product development timelines, streamline user experience, and maintain a level of internal competition despite operating under one structure.

In its response, Intel stated that the agreement could enhance shareholder value while providing its engineering teams with clearer direction and stronger operational support to rebuild competitive product offerings.

Industry analysts are still assessing the broader implications. Historically, Intel’s scale and manufacturing capabilities positioned it at the center of the computing market, while AMD functioned as a challenger that introduced competitive pressure. That dynamic has shifted as AMD expanded its presence in servers, desktops, and mobile computing, while Intel’s recovery efforts remain ongoing.

Several practical questions remain unresolved. These include how branding will be handled, whether both product lines will continue independently, and how regulators will evaluate the consolidation of two primary x86 architecture competitors under a single entity.

Sources familiar with the matter suggest AMD may adopt a structure that retains both brands in the near term. One internal concept reportedly frames Intel as a legacy-focused division, reflecting its historical significance while redefining its position within the organization.

Investor reaction has ranged from surprise to cautious optimism. Some market participants see the potential for operational efficiency and reduced rivalry, while others are concerned that combining the two companies could limit competition in the x86 processor market.

From a regulatory perspective, the deal is likely to face scrutiny due to the potential concentration of market power. The long-standing competition between AMD and Intel has historically driven innovation and pricing balance, and its reduction could reshape industry dynamics.

The announcement comes at a time when the semiconductor sector is undergoing rapid transformation, driven by demand for artificial intelligence, high-performance computing, and evolving global supply chains. Both companies have been investing heavily in these areas, alongside competitors such as NVIDIA Corporation.

At present, the timeline for completion remains subject to regulatory approvals and further review. While the companies have indicated confidence in moving forward, the scale and implications of the deal mean that its outcome will be closely watched across the industry.

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Malware Threats
AI cyberattacks AI Malware AI technology Cyber Security Cyberattacks DeepLoad Malware Threats

Windows 11 Faces Rising Threats from AI Malware and Critical Security Flaws

 

Pressure on Windows 11 security grows - driven by emerging AI-powered malware alongside unpatched flaws threatening companies and everyday users alike. The pace of change in digital threats becomes clearer through recent incidents, especially within large organizational networks. DeepLoad sits at the heart of recent cybersecurity worries. This particular threat skips typical download tactics altogether. 

Instead of dropping files, it operates without any - earning its "fileless" label. Users themselves become part of the breach process. By following deceptive prompts, they run benign-looking instructions in system utilities such as Command Prompt. Once executed, those inputs quietly trigger malicious activity behind the scenes. Since nothing gets written to disk, standard virus scanners often miss what's happening. 

Detection becomes difficult when there’s no file footprint to flag. After running, the malware stays active by embedding itself into system processes while reaching out to remote servers through standard Windows tools. Because it targets confidential information like passwords, its presence poses serious risks inside business environments. What makes it harder to detect is how it blends malicious activity with normal operating routines. Security teams may overlook it during routine checks due to this camouflage technique. 

Artificial intelligence makes existing threats more dangerous. Because AI-driven malware adjusts on the fly, it slips past standard detection systems. As a result, security tools struggle to keep up. With each change the malware makes, response times shrink. The gap between finding a flaw and facing an attack grows narrower by the hour. Meanwhile, security patches have been rolled out by Microsoft to fix numerous high-risk weaknesses. 

Affected are various business-focused builds of Windows 11 - both recent iterations and extended support variants. One major concern involves defects within the Routing and Remote Access Service (RRAS), where exploitation might let threat actors run harmful software from a distance. Full administrative access to compromised machines becomes possible through these gaps. Not just isolated systems feel the impact. 

That last Patch Tuesday, Microsoft fixed over eighty security gaps in its programs - problems hiding even inside tools such as Excel and Outlook. Opening an attachment wasn’t needed; sometimes, just looking at it could activate harmful code, showing how dangerous these weaknesses really are. Experts warn that even emerging AI tools, such as Microsoft Copilot, could introduce new risks if not properly secured, particularly when sensitive data is handled automatically. 

Though companies face the most attacks, regular individuals can still be affected. When new patches arrive, it helps to apply them without delay - timing often matters more than assumed. Opening unknown scripts carries risk; many breaches begin there. Unexpected requests, especially those demanding immediate steps, deserve extra skepticism. 

Change is shaping a new kind of digital danger - cleverer, slyer, built to exploit how people act just as much as system flaws. One moment it mimics trust; the next, it slips through unnoticed.
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Malware attacks
Axios Cyber Security Cyberattacks Deceptive npm packages Global Supply Chain Security macOS Malware attacks

Axios Supply Chain Attack Exposes npm Security Gaps with Token-Based Compromise

 

A breach in the Axios library - one of many relied upon in modern web development - has exposed flaws that linger beneath surface-level fixes. Through stolen access, hackers slipped harmful updates into what users assumed was safe code. This event underscores how fragile trust can be, even when systems claim stronger defenses. Progress in verifying packages and securing logins appears incomplete, given such exploits still succeed. Confidence in tools like those hosted on npm remains shaken by failures that feel both avoidable and familiar. 

A lead developer’s extended-use npm token was accessed by hackers, reports show from Huntress and Wiz. Through this entry point, altered builds of Axios emerged - versions laced with hidden code deploying a multi-system remote control tool. Not limited to one environment, the harmful update reached machines running on macOS, Windows, or Linux setups. Lasting just under three hours, the rogue releases stayed active online until taken down. 

Axios ranks among the top tools in JavaScript, downloaded more than a hundred million times each week, found in roughly eight out of ten cloud setups. Moments after the tainted update went live, malware started spreading fast; Huntress later verified infection on 135 machines while the vulnerability was active. Hidden within a third-party addition, plain-crypto-js slipped into Axios’s environment without touching its main codebase. Not through direct changes but via a concealed payload activated after installation. 

Running quietly once set up, it triggered deployment of a remote access tool on developers’ systems. Built to avoid notice, the malicious code erased itself under certain conditions. Altered components were restored automatically, masking traces left behind. One reason this breach stands out lies in its method - evading defenses thought secure. Even after adopting standard safeguards like OIDC for verified publishing and robust supply chain models, outdated tools remained active. 

A leftover npm access key opened the door despite stronger systems being in place. Where two login paths existed, preference went to the original token, rendering recent upgrades useless under that condition. This is now the third significant breach of the npm supply chain in just a few months, after events such as the Shai-Hulud incident. 

Each time, hackers used compromised maintainer login details to gain access, revealing a recurring weakness across the system. Though security professionals highlight benefits of measures like multi-factor verification and origin monitoring, these fail to block every threat when login data is exposed. 

With growing pressure, companies must examine third-party links, apply tighter rules on software setup, yet phase out outdated access methods instead. When trust rests on open-source tools, weaknesses in how credentials are handled can still invite breaches. A single event shows flaws aren’t always in the code itself - sometimes they hide where access is managed.
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vehicle AI security
Automotive Cybersecurity car hacking risks connected vehicles security Cyber Security OTA update vulnerabilities vehicle AI security

Cybersecurity Risks Rise as Modern Vehicles Become Complex Digital Ecosystems

 

Today’s vehicles have evolved into highly interconnected cyber-physical systems, combining mobile apps, backend infrastructure, over-the-air (OTA) update mechanisms, and AI-powered decision-making. This growing integration has significantly expanded the potential attack surface, introducing security risks that traditional IT frameworks were not designed to address. As a result, vulnerabilities are increasingly surfacing across the entire automotive ecosystem.

"Unlike a traditional IT system, like a mail server or your home network, the worst case scenario involves things like safety implications or real-world operational disruptions like closing down a road or being able to cause damage to the environment," said Kamel Ghali, vice president at Car Hacking Village.

With the shift toward software-defined vehicles and reliance on OTA updates, cars are beginning to inherit many of the same security weaknesses seen in conventional IT systems. At the same time, the integration of artificial intelligence introduces new concerns, as these models—now responsible for safety-critical decisions—must be safeguarded against manipulation or external interference, Ghali noted.

During a video interview with Information Security Media Group at the RSAC Conference 2026, Ghali further highlighted several key developments. He explained that the automotive supply chain is increasingly investing in cryptographically secure processors to gain a competitive edge. 

He also pointed out that threat modeling in the automotive sector is expanding beyond traditional IT considerations to address safety, operational continuity, and environmental impact. Additionally, he emphasized that maintaining supply chain integrity will likely emerge as the most significant long-term cybersecurity challenge for the automotive industry.

Ghali brings over seven years of expertise in automotive cybersecurity, specializing in ethical hacking, penetration testing, training, and product security. He is an active contributor to the global cybersecurity community, leads outreach initiatives for the DEF CON Car Hacking Village, and plays a key role in raising awareness about vehicle security risks.

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data security
Ai Data AI technology CPU Cyber Security Data Center data center GPUs Data protection data security

AI Datacenter Boom Triggers Global CPU and Memory Shortages, Driving Price Hikes

 

Spurred by growing reliance on artificial intelligence, computing hardware networks are pushing chip production to its limits - shortages once limited to memory chips now affect core processors too. Because demand for AI-optimized facilities keeps climbing, industry leaders say delivery delays and cost increases may linger well into the coming decade. 

Now coming into view, top chip producers like Intel and AMD face difficulty keeping up with processor needs. Because of tighter supplies, computer and server builders get fewer chips than ordered - slowing assembly processes down. This gap pushes shipment timelines further out while lifting prices by roughly one-tenth to slightly more than an eighth. With supply trailing behind, companies brace for longer waits and steeper costs. Heavy demand has pushed key tech suppliers like Dell and HP to report deeper shortages lately. Server parts now take months rather than weeks to arrive - delays once rare are becoming routine. 

Into early 2026, experts expect disruptions to grow worse, stretching stress across business systems and home buyers alike. With CPU availability shrinking, pressure grows on a memory market already strained. Because of rising AI-driven datacenter projects, need for DRAM and NAND has jumped sharply - shifting production lines from devices like smartphones and laptops. This shift means newer tech such as DDR5 costs more than before, making upgrades less appealing. People now hold onto older machines longer, especially those running DDR4, simply because replacing them feels too costly. 

Nowhere is the strain more visible than in everyday device markets. Higher expenses for parts translate directly into steeper price tags on laptops, along with slower release cycles. Take Valve - their Linux-powered compact desktop hit pause, held back by material shortages. On another front, Micron stepped away from selling memory modules to regular users, focusing instead on large-scale computing and artificial intelligence needs. Shifts like these reveal where attention now lies within the sector. 

Facing growing challenges, legacy chip producers watch as new players step in. Not far behind, Arm launches its debut self-designed CPU, built specifically for artificial intelligence tasks. Demand was lacking - now it's shifting. Big names like Meta, Cloudflare, OpenAI, and Lenovo are paying attention, drawn by fresh potential. Change arrives quietly, then spreads. 

Facing ongoing shortages, market projections point to extended disruptions through the 2030s - altering how prices evolve while shifting the rhythm of technological advances in chips and computing systems.
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Pentagon Injunction
AI lawsuit Anthropic Ban Cyber Security Federal Judge Pentagon Injunction

Judge Blocks Pentagon's Retaliatory AI Ban on Anthropic

 

A federal judge has temporarily halted the Pentagon's effort to designate AI company Anthropic as a supply chain risk, ruling that the move appeared driven by retaliation rather than legitimate security concerns. In a 48-page order, U.S. District Judge Rita Lin, appointed by former President Joe Biden, granted Anthropic a preliminary injunction against 17 federal agencies, including the Pentagon, preventing them from enforcing the ban until the lawsuit concludes. This keeps Anthropic's Claude AI accessible to government users amid escalating tensions over military contracts. 

The conflict erupted during negotiations to expand a $200 million Pentagon contract with Anthropic. Anthropic refused proposed language permitting "all lawful use" of its AI, citing risks like mass surveillance or autonomous weapons—a stance CEO Dario Amodei publicly emphasized. In response, President Donald Trump posted on Truth Social on February 27 directing agencies to "IMMEDIATELY CEASE all use of Anthropic’s technology," while Defense Secretary Pete Hegseth announced on X that no military partners could engage with the firm. 

On March 4, the administration formalized the designation under two statutes: 41 USC 4713 for federal-wide restrictions and 10 USC 3252 for Defense Department-specific actions. Anthropic swiftly filed lawsuits in California's Northern District and the DC Circuit, arguing the labels were pretextual punishment for its ethical safeguards. Judge Lin agreed, noting the government's shift from contract disputes to broad bans suggested improper motives. 

Pentagon Chief Technology Officer Emil Michael countered on X that Lin's order contained "dozens of factual errors" and insisted the 41 USC 4713 designation remains in effect, as it falls outside her jurisdiction . Anthropic welcomed the swift ruling, reaffirming its commitment to safe AI while awaiting DC Circuit decisions. Legal experts are split: some see the injunction as limited, potentially leaving parts of the ban intact. 

This case underscores deepening rifts between AI firms and the government over technology controls in national security.It raises questions about executive power to penalize contractors, the role of public statements in legal proceedings, and AI deployment ethics amid rapid advancements. As appeals loom in the 9th Circuit, the dispute could drag on for years, impacting federal AI adoption and Anthropic's partnerships.
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