Spyware collects user data, including passwords and personal and financial information, and sends it to malicious parties without a user's knowledge.

During a drive-by download attack, security flaws in a program or operating system (e.g., Windows) used to access online content are exploited, and malicious code is downloaded—for example, when loading a hacked webpage—onto a user's device without their knowledge. Restricting internet browsing to safe sites and installing security updates helps prevent these attacks.

Computer viruses require user interaction to execute a file and spread, whereas worms can self-replicate across systems without human intervention. Ransomware locks systems until a key is provided, spyware tracks and reports user activity to a third party, and trojans disguise various types of malware as legitimate software.

Because this type of malware requires human intervention, such as plugging an infected flash drive into a computer or downloading and running an infected file, the chance of infection can be greatly reduced by being cautious about unfamiliar emails, attachments, and links. Keeping systems up to date with the latest security fixes is also crucial.

Currently, technology exists to scrape and download data from webpages, which can then be analyzed to identify a user's information. However, scrapers cannot access or remove personal data from dark websites because they are often protected by paywalls, rendering monitoring ineffective beyond reporting publicly available data breaches.

Spread through emails, downloads, messaging services, and outdated software, viruses attach to programs, self-replicate, and infect other systems. They can delete files, steal data, and cause performance issues as they spread.

Some of the earliest significant pieces of malware—the Creeper worm and the Elk Cloner virus—displayed silly messages to users without causing major harm. As computer science has advanced, malware has become more easily spread, incorporated social engineering to manipulate users, targeted infrastructure systems, and been used by governments for virtual espionage.

Once infected software is run, instructions in the malicious code within the program or file can copy the code to various locations, exacerbating the infection and producing additional symptoms, such as slow performance, altered login credentials, changes to device settings, and system crashes.

A worm-embedded document posted online enticed users to download and open it by alleging to contain passwords to paywalled explicit websites. Upon opening, the worm shared itself with 50 addresses in a user's Outlook contacts, masquerading as a friendly attachment. Its rapid spread overwhelmed email servers and caused $1.1B in damage worldwide.

Many of the first researchers and hobbyists who created viruses and worms showed a natural curiosity in experimenting with and designing such software to make a name for themselves and advance the field of computer science. In the future, AI-augmented malware may adapt in real-time or design enhanced cryptojackers, infostealers, and ransomware for cybercriminals.

Browsing the dark web requires onion routing, which prevents visitors from being identified and the locations from which they connect from being traced. This has been useful to activists in environments affected by political oppression or instability. However, those unfamiliar with navigating the space may encounter malware and network attacks from denizen hackers.

Because computer viruses, worms, and other malicious software reside within a computer's operating system, which manages computer hardware and software, cybercriminals writing effective malicious code must understand how the OS manages input and output, permissions, memory, etc. Knowledge of credentials and network access also helps create malware that easily spreads.

Despite encrypting data and relaying it within the Tor network, traffic between the network exit and the final destination is no longer hidden and can be captured. Law enforcement agencies can also attempt to deanonymize users by monitoring and matching data signal patterns entering and leaving the network via a correlation algorithm.

Displaying as LOVE-LETTER-FOR-YOU.TXT on Windows computers, the file appeared to be a love letter, which many users willingly opened. However, the file contained a script that damaged and hid files, caused Internet Explorer to download software to help steal passwords, and copied itself to all Outlook contacts to continue spreading.

Cybersecurity researcher John Hammond explores the effectiveness of a dark web search engine, leaks from ransomware group data breaches, and a categorized index of dark web links, including some that are alleged to host malware. Many dark web sites are no longer active or host scams to fool unsuspecting visitors.

Being able to track how users behave on websites is a massive opportunity for companies to hone their products, target their ads, and more. Dozens of trackers are on the average website you visit, depending on how you deal with that site's cookie policy, and Google is the chief tracker of them all. Learn about these companies and what they are tracking with this informative blog visualization.

Because credit scores use a lot of personal information (such as whether or not someone makes credit card payments on time), some worry their privacy is being compromised in the data collection process.

Computer viruses are often classified by how they spread or which files they infect, with the oldest ones—boot sector viruses—targeting systems that are active when a computer is turned on. Macros—custom codes in office productivity programs authored to automate tasks—spawned their own class of viruses.

If you've ever gotten a text message from a scammer—sometimes even just someone from an unknown number saying hello and calling you by the wrong name—you've probably wondered what they're trying to get out of you. This podcast answers that question. Hint: The answer has to do with cryptocurrency.

Insecure devices connected to the Internet of Things pose risks to the entire network, which cybercriminals can hijack to compromise infrastructure and private resident data. Poorly secured systems that become inoperable can undermine the promise of smart cities by worsening the quality of life.

The first viral infections were identified by comparing the computer code of programs and files with a database of known virus codes, a method known as signature detection. The ongoing creation of new malware made databases continuously outdated, leading to the development of systems that detect patterns consistent with known viral activity.

After using biometrics or a PIN to access the private key stored on a device, it is combined with a random number generated by the site to produce a cryptographic signature. This signature is verified using the site's public key, allowing a user to log in without entering a password. This reduces the risk of fraudulent messages—phishing attacks—and data breaches.

These attacks can manipulate AI behavior by hiding instructions in websites and PDFs that become part of training data. The more companies connect sites, services, and sensitive datasets to AI tools, the greater the chances of exposure to malicious code.

Besides those authored in research labs as proofs of concept for self-replicating software, hobbyists would create malware that played music or displayed text and animations that intentionally revealed the infection as a means of showing off, rather than hiding their spread.

Politicians have also criticized whether the search engine exerts too much control over gatekeeping online information and influencing what is considered fact or fiction, deviating from its original corporate motto of "don't be evil."

What is OSINT? How do hackers gather intel about targets? Just how much can they learn about you? Learn more as we dig in to the world of OSINT.

Advancements in cloud technology and artificial intelligence allow cities to capture, store, and analyze more information than ever before. Experts warn that the unhindered ability to collect and use this data may infringe on residents' rights and endanger them if the data gets into the hands of malicious parties.

Smart cities require vast troves of data to run, making their systems attractive to hackers. Listen to this one hour podcast to learn about the risks and what is being done to mitigate them.

Crawlers are programs that automatically browse the internet for links and index pages for search engines to pull up when page content matches search queries. Networks of global data centers also create copies of content as fail-safes for potential failures to ensure access isn't ever lost.

'Bossware' tools help employers make sure their remote workers aren't slacking off on the job, using surveillance technology to monitor employee computer activity and more.

Spies have one of the most challenging and dangerous jobs in the world, risking their lives and legacy to extract secrets in the interest of their country. This in-depth explainer breaks down one of the profession's oft-ignored aspects: The...

After releasing documents detailing an NSA surveillance scheme named PRISM (which is also the name of a Palantir service), further documents show that Palantir's software enabled the expansion of the NSA's widest-reaching data programs, XKEYSCORE. Palantir has frequently denied claims of supporting government surveillance and has insisted that its software is designed to maintain "civil liberties," such as privacy.

One of the most serious perceived risks of augmented reality is the loss of privacy. Because AR technology can see what users are doing, user privacy is jeopardized. AR collects far more information about who users are and what they are doing than...

This article includes tips on how to spot a Social Security scam, including information about what the real Social Security Administration will and will not do. For instance, the Social Security Administration will never threaten someone with benefits suspension or bank account seizure if they do not comply with a request.

On their YouTube channel, Malware historian Daniel White has documented what happens when various types of malware—mostly from the 1980s and 90s—run on a computer or Nokia cell phone. The demonstrations were safely conducted within virtual machines—older operating systems run within contained windows of modern software, resembling a picture-in-picture setup.

A computer expert who created a system to track down sources of revenge porn and an investigative journalist joined forces to investigate digital abuse. Their investigations focused on so-called clear nets, websites that make up the web most users surf. Then, they turned their investigation toward the dark web, where they found a child abuse website with more than 1 million registered users.