Mobile applications have revolutionized the way we consume information. Nowadays, most organizations leverage these powerful tools to enhance their employees’ agility with services that are available 24/7. But granting applications access to highly sensitive corporate data also widens the mobile attack surface, which is why it’s crucial to not overlook the associated application security threats.

Mobile Apps Complicate the Data Privacy Picture

A mobile application is like an iceberg; most of its behaviors are executed silently. On one hand, it can be inherently malicious and feature malware that, when hosted on a device, targets the user’s data, credentials, transactions and more. These behaviors are mostly found in applications available on third-party stores, but sometimes also in major commercial app stores. In 2019, Pradeo Lab discovered that 5 percent of Android and 2 percent of iOS apps hosted malicious programs.

On the other hand, a mobile application doesn’t need to be malicious to hurt collaborators’ privacy. Greyware is a category of application that comprises intrusive apps that exfiltrate user data to the network (67 percent of Android apps and 61 percent of iOS apps) as well as vulnerable apps developed without following security best practices (61 percent of Android apps).

Either way, mobile apps have the power to severely compromise corporate data privacy. Today, security heads are stuck with the major challenge of complying with data privacy laws and enhancing user productivity while preserving their agility.

Shed Light on Mobile Application Security Threats in Your Network

Organizations that distribute mobile apps are encouraged — and required by law in some industries — to diagnose their security levels prior to release. To shed light on all aspects of a mobile app, it is necessary to audit it with a mobile application security testing (MAST) tool. MAST solutions perform multidimensional analyses (static and dynamic) that allow security teams to detect all app behaviors and vulnerabilities. This way, organizations can ensure that the apps they are about to release do not threaten the privacy of any corporate or personal data. If they do, this process will help the relevant parties repackage them.

MAST solutions are available as software-as-a-service (SaaS) and sometimes as an application programming interface (API) to integrate within developers’ environments. In addition, some unified endpoint management (UEM) solutions are starting to integrate this kind of service within their platform to facilitate security heads’ experience.

Register for the webinar to learn more

More from Application Security

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…

Topic updates

Get email updates and stay ahead of the latest threats to the security landscape, thought leadership and research.
Subscribe today