Some services also target other popular social media platforms or financial services, providing email phishing and SIM swapping capabilities.”
EVIL INSIDE SPOOFER VERIFICATION
“Over the past few months, we’ve seen actors provide access to services that call victims, appear as a legitimate call from a specific bank and deceive victims into typing an OTP or other verification code into a mobile phone in order to capture and deliver the codes to the operator.
EVIL INSIDE SPOOFER PASSWORD
“Intel 471 has seen an uptick in services on the cybercrime underground that allow attackers to intercept one-time password (OTP) tokens,” the company wrote in a blog post today. And all of them operate via Telegram, a cloud-based instant messaging system. But according to research from cyber intelligence firm Intel 471, multiple new OTP interception services have emerged to fill that void.
EVIL INSIDE SPOOFER OFFLINE
OTP Agency took itself offline within hours of that story. The call would prompt the target to enter an OTP token generated by their phone’s mobile app (“for authentication purposes”), and that code would then get relayed back to the bad guy customers’ panel at the OTP Agency website.
OTP Agency customers would enter a target’s phone number and name, and then the service would initiate an automated phone call that alerts that person about unauthorized activity on their account. This service (and all others mentioned in this story) assumes the customer already has the target’s login credentials through some means. The OTP interception service featured earlier this year - Otpagency - advertised a web-based bot designed to trick targets into giving up OTP tokens. without access to the victim’s mobile device or phone number. The idea is that even if the user’s password gets stolen, the attacker still can’t access the user’s account without that second factor - i.e. Many websites now require users to supply both a password and a numeric code/OTP token sent via text message, or one generated by mobile apps like Authy and Google Authenticator. Compared with the existing method, the proposed approach demonstrates a significantly higher degree of accuracy for detecting GPS spoofing attacks.An ad for the OTP interception service/bot “SMSRanger.” The reconstructed trajectory from sensors is then used to detect the GPS spoofing attack. We further propose a novel scheme to map the constructed trajectory from sensor readings onto the Google map, to smartly eliminate the accumulation of errors on the trajectory estimation. Our design uses a convolutional and recurrent neural network to reduce the noise, to recover a vehicle's real-time trajectory from multiple sensor inputs. To this end, we propose DeepPOSE, a deep learning model, to address the noise introduced in sensor readings and detect GPS spoofing attacks on mobile platforms.
Furthermore, it is also a challenge to get accurate sensor readings on mobile devices because of the high noise level introduced by commercial motion sensors. Pervasive tools, such as Fake GPS, Lockito, and software-defined radio, enable ordinary users to hijack and report fake GPS coordinates and cheat the monitoring server without being detected. However, it is a challenge to verify if the reported geographic locations are valid due to various GPS spoofing tools. The Global Positioning System (GPS) has become a foundation for most location-based services and navigation systems, such as autonomous vehicles, drones, ships, and wearable devices.
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