Tag Archive for: victim

Hopewell Area School District victim of ransomware attack


The Hopewell Area School District is investigating a ransomware attack on its network.

The attack happened last week, according to the district’s website. State and federal law enforcement have been notified and they are working to learn if any data stored on the network was accessed.

Student devices were not affected and may continue to be used both on and off campus, according to the post.

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Victim Count Doubles in Heart Institute Data Theft Hack


Cybercrime
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Fraud Management & Cybercrime
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Healthcare

Tennessee Practice So Far Faces 5 Proposed Class Action Lawsuits

Victim Count Doubles in Heart Institute Data Theft Hack
Image: The Chattanooga Heart Institute

The number of people affected by a Tennessee cardiac care clinic hack has more than doubled to 411,000 since the healthcare group first reported the incident to regulators in July. Cybercriminal group Karakurt claimed responsibility for the attack, which has so far triggered five class action suits.

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The Chattanooga Heart Institute told the Maine attorney general in a supplemental data breach report filed on Oct. 6 that the total number of affected individuals in a cyberattack on its IT network discovered in April 17 had risen to nearly 411,400 people – including 47 Maine residents.

The Chattanooga, Tennessee-based group in July reported to the U.S. Department of Health and Human Services and the Maine state regulator that the incident had affected 170,450 individuals, including five Maine residents (see: Tennessee Heart Clinic Tells 170,000 of Hacking, Data Breach).

The Chattanooga Heart Institute includes three vascular surgeons and 27 cardiologists at four locations in Tennessee and one in Georgia. In its breach notice, the cardiac practice said its ongoing investigation into the incident had determined that an “unauthorized third party” gained access to its network between March 8 and March 16 and obtained copies of some of the data from its systems containing confidential…

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2 Las Vegas casinos fell victim to cyberattacks, shattering the image of impenetrable casino security


AS VEGAS — A persistent error message greeted Dulce Martinez on Monday as she tried to access her casino rewards account to book accommodations for an upcoming business trip.

That’s odd, she thought, then toggled over to Facebook to search for clues about the issue on a group for MGM Resorts International loyalty members. There, she learned that the largest casino owner in Las Vegas had fallen victim to a cybersecurity breach.

Martinez, 45, immediately checked her bank statements for the credit card linked to her loyalty account. Now she was being greeted by four new transactions she did not recognize — charges that she said increased with each transaction, from $9.99 to $46. She canceled the credit card.

Unsettled by the thought of what other information the hackers may have stolen, Martinez, a publicist from Los Angeles, said she signed up for a credit report monitoring program, which will cost her $20 monthly.

“It’s been kind of an issue for me,” she said, “but I’m now monitoring my credit, and now I’m taking these extra steps.”

MGM Resorts said the incident began Sunday, affecting reservations and casino floors in Las Vegas and other states. Videos on social media showed video slot machines that had gone dark. Some customers said their hotel room cards weren’t working. Others said they were canceling their trips this weekend.

The situation entered its sixth day on Friday, with booking capabilities still down and MGM Resorts offering penalty-free room cancelations through Sept. 17. Brian Ahern, a company spokesperson, declined Friday to answer questions from The Associated Press, including what information had been compromised in the breach.

By Thursday, Caesars Entertainment — the largest casino owner in the world — confirmed it, too, had been hit by a cybersecurity attack. The casino giant said its casino and hotel computer operations weren’t disrupted but couldn’t say with certainty that personal information about tens of millions of its customers was secure following the data breach.

The security attacks that triggered an FBI probe shatter a public perception that casino security requires an “Oceans 11”-level effort to defeat…

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I’m a security expert – life-ruining AI will claim you as a victim if you ignore my three ‘spotter’ rules


ARTIFICIAL intelligence being used to create fake news and other content has become a real problem as its technology improves.

It is important to know what to look out for to spot AI fake news so you can be properly informed and not fall victim to its confusing claims.

AI fake news can show up in an array of different types of media but there are ways to spot it

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AI fake news can show up in an array of different types of media but there are ways to spot it

The rules were shared by computer security company McAfee on “how to spot fake news in your social media feed.”

It is extra important to be wary of the rules right now because a study from June by Reuters found that more people get their news from social media than official news publications.

Fake news can show up in an array of different types of social media including misleading posts, image captions, quotes, and false information in graphs and charts.

Along with Deepfake videos impersonating well-known public figures, AI-generated voice clones, and entire news websites generated by AI, McAfee warned.

Here is a breakdown of the three rules to avoid being fooled by fake news from AI, per McAfee.

1. CONTEXT

You want to check the writing for typos, poor grammar, and overall poor composition.

The context may also not make complete sense and be missing credentials for facts like date, time, and place of publication along with an author.

2. TOO GOOD TO BE TRUE

AI-generated images can be extremely deceiving, and you want to pay attention to details to spot a fake.

It’s good to consider if an image looks “too bizarre.”

“‘Don’t believe everything you read on the internet,’” now includes “Don’t believe everything you see on the internet,’” McAfee said.

3. DISTORTIONS

AI technology is not perfected yet so distortions can happen.

It especially is not good at rendering finders and hands currently and these can give it away if you look closely.

Along with creating eyes that look soulless or dead.

You can also look for unnatural shadows, uneven skin tones, and voice or facial expressions that look off or robotic

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