Entries Tagged "hacking"
Page 1 of 64
It’s a big one:
As first reported by Motherboard on Sunday, someone on the dark web claims to have obtained the data of 100 million from T-Mobile’s servers and is selling a portion of it on an underground forum for 6 bitcoin, about $280,000. The trove includes not only names, phone numbers, and physical addresses but also more sensitive data like social security numbers, driver’s license information, and IMEI numbers, unique identifiers tied to each mobile device. Motherboard confirmed that samples of the data “contained accurate information on T-Mobile customers.”
This is a really interesting story explaining how to defeat Microsoft’s TPM in 30 minutes — without having to solder anything to the motherboard.
Researchers at the security consultancy Dolos Group, hired to test the security of one client’s network, received a new Lenovo computer preconfigured to use the standard security stack for the organization. They received no test credentials, configuration details, or other information about the machine.
They were not only able to get into the BitLocker-encrypted computer, but then use the computer to get into the corporate network.
It’s the “evil maid attack.” It requires physical access to your computer, but you leave it in your hotel room all the time when you go out to dinner.
Original blog post.
Of course this is hackable:
A sophisticated telecommunications satellite that can be completely repurposed while in space has launched.
Because the satellite can be reprogrammed in orbit, it can respond to changing demands during its lifetime.
The satellite can detect and characterise any rogue emissions, enabling it to respond dynamically to accidental interference or intentional jamming.
We can assume strong encryption, and good key management. Still, seems like a juicy target for other governments.
Interesting research: “EvilModel: Hiding Malware Inside of Neural Network Models.”
Abstract: Delivering malware covertly and detection-evadingly is critical to advanced malware campaigns. In this paper, we present a method that delivers malware covertly and detection-evadingly through neural network models. Neural network models are poorly explainable and have a good generalization ability. By embedding malware into the neurons, malware can be delivered covertly with minor or even no impact on the performance of neural networks. Meanwhile, since the structure of the neural network models remains unchanged, they can pass the security scan of antivirus engines. Experiments show that 36.9MB of malware can be embedded into a 178MB-AlexNet model within 1% accuracy loss, and no suspicious are raised by antivirus engines in VirusTotal, which verifies the feasibility of this method. With the widespread application of artificial intelligence, utilizing neural networks becomes a forwarding trend of malware. We hope this work could provide a referenceable scenario for the defense on neural network-assisted attacks.
Masquerading as UK scholars with the University of London’s School of Oriental and African Studies (SOAS), the threat actor TA453 has been covertly approaching individuals since at least January 2021 to solicit sensitive information. The threat actor, an APT who we assess with high confidence supports Islamic Revolutionary Guard Corps (IRGC) intelligence collection efforts, established backstopping for their credential phishing infrastructure by compromising a legitimate site of a highly regarded academic institution to deliver personalized credential harvesting pages disguised as registration links. Identified targets included experts in Middle Eastern affairs from think tanks, senior professors from well-known academic institutions, and journalists specializing in Middle Eastern coverage.
These connection attempts were detailed and extensive, often including lengthy conversations prior to presenting the next stage in the attack chain. Once the conversation was established, TA453 delivered a “registration link” to a legitimate but compromised website belonging to the University of London’s SOAS radio. The compromised site was configured to capture a variety of credentials. Of note, TA453 also targeted the personal email accounts of at least one of their targets. In subsequent phishing emails, TA453 shifted their tactics and began delivering the registration link earlier in their engagement with the target without requiring extensive conversation. This operation, dubbed SpoofedScholars, represents one of the more sophisticated TA453 campaigns identified by Proofpoint.
The report details the tactics.
Two reports this week. The first is from Microsoft, which wrote:
As part of our investigation into this ongoing activity, we also detected information-stealing malware on a machine belonging to one of our customer support agents with access to basic account information for a small number of our customers. The actor used this information in some cases to launch highly-targeted attacks as part of their broader campaign.
The second is from the NSA, CISA, FBI, and the UK’s NCSC, which wrote that the GRU is continuing to conduct brute-force password guessing attacks around the world, and is in some cases successful. From the NSA press release:
Once valid credentials were discovered, the GTsSS combined them with various publicly known vulnerabilities to gain further access into victim networks. This, along with various techniques also detailed in the advisory, allowed the actors to evade defenses and collect and exfiltrate various information in the networks, including mailboxes.
Sidebar photo of Bruce Schneier by Joe MacInnis.