Dating Apps Vulnerabilities and Risks to Enterprises

Mobile Dating Apps Can Place Confidential Information at Risk

As more people utilize mobile dating applications to find companionship, the apps have become increasingly attractive to potential attackers. This study explores mobile security vulnerabilities that were detected by IBM AppScan Mobile Analyzer on the Android platform, and provides helpful advice.

Read this study to learn how:

Dating Apps vulnerabilities are making it easy for hackers
BYOD might be responsible for leaking sensitive corporate data
Recommendations & Actions for Employees & Businesses to combat these threats

Read the IBM Mobile Security Study: Dating Apps Vulnerabilities and Risks to Enterprises

Michelle Alvarez

Manager, X-Force Strategic Threat Analysis, IBM

PixPirate: The Brazilian financial malware you can’t see

10 min read - Malicious software always aims to stay hidden, making itself invisible so the victims can’t detect it. The constantly mutating PixPirate malware has taken that strategy to a new extreme. PixPirate is a sophisticated financial remote access trojan (RAT) malware that heavily utilizes anti-research techniques. This malware’s infection vector is based on two malicious apps: a downloader and a droppee. Operating together, these two apps communicate with each other to execute the fraud. So far, IBM Trusteer researchers have observed this…

From federation to fabric: IAM’s evolution

15 min read - In the modern day, we’ve come to expect that our various applications can share our identity information with one another. Most of our core systems federate seamlessly and bi-directionally. This means that you can quite easily register and log in to a given service with the user account from another service or even invert that process (technically possible, not always advisable). But what is the next step in our evolution towards greater interoperability between our applications, services and systems?Identity and…

Audio-jacking: Using generative AI to distort live audio transactions

7 min read - The rise of generative AI, including text-to-image, text-to-speech and large language models (LLMs), has significantly changed our work and personal lives. While these advancements offer many benefits, they have also presented new challenges and risks. Specifically, there has been an increase in threat actors who attempt to exploit large language models to create phishing emails and use generative AI, like fake voices, to scam people. We recently published research showcasing how adversaries could hypnotize LLMs to serve nefarious purposes simply…

Security Intelligence

{{title}}

{{title}}

{{title}}

Topics

Mobile Dating Apps Can Place Confidential Information at Risk

More from Application Security

PixPirate: The Brazilian financial malware you can’t see

From federation to fabric: IAM’s evolution

Audio-jacking: Using generative AI to distort live audio transactions

Topic updates