Scammers are Using AI to Exploit Text Passcode Authentication; Here's How They are Doing it
Cyber threats keep evolving as quickly as technology and the digital landscape, and in this ever-changing realm, a new danger is quietly emerging, almost imperceptibly siphoning off revenue from companies and undermining their reputation. AI is the latest tool being deployed by scammers to find a way around text passcode authentication. In this article, we'll explore how AIT scams work, why they are increasing, their impact, and the importance of CISOs and CSOs in combating this menace.
How AIT scams work:
AIT scams involve cybercriminals targeting systems with less protected phone number input fields that distribute one-time passcodes (OTPs), app download links, or other content via text messages.
They start by developing a bot designed to create fake accounts on a web service or app, and then cybercriminals collaborate with a rogue party, which may include small mobile network operators (MNOs), to intercept the artificially inflated traffic without delivering messages to their intended recipients.
The bot triggers the delivery of one-time passcode SMS messages to various mobile numbers.
The rogue party suppresses the delivery of the content.
The cybercriminal and the rogue party share the generated revenues and continue the cycle to further inflate revenues or manipulate conversion statistics.
The challenge with AIT scams is the ability of bots to mimic real user behavior, making them difficult to detect and prevent. As Nigel Gibbons, a senior advisor at security consulting firm NCC Group, notes, they pose a significant financial threat to advertisers, content providers, and telecoms, often resulting in significant costs for worthless traffic or engagement.
Why are AIT scams on the rise?
Among factors that may be triggering the rise of AIT scams, the potential for substantial financial rewards, whether through inflated ad revenues, increased inter-carrier compensation, or higher fees for influencers, attracts cybercriminals to these scams.
The escalating costs of application-to-person (A2P) SMS services make AIT scams even more appealing to cybercriminals, as some may even use the proceeds from AIT schemes to fund legitimate SMS traffic.
The development of more sophisticated bots and software, which are increasingly commercialized as software-as-a-service solutions, makes it easier for fraudsters to mimic real user behavior and avoid detection.
Another major reason is that AIT fraud circumvents MNOs' firewalls because one-time passcodes used in these scams are not typically flagged as spam or prohibited content due to a lack of regulation within common SMS agreements and regulatory frameworks.
Impact of AIT fraud
AIT scams can lead to various negative consequences for businesses, including app developers inadvertently facilitating fraudulent activity, resulting in inflated costs for SMS services or revenue-sharing agreements, that impact profitability.
Sending excessive one-time passcodes can also lead to mistrust, which negatively impacts a company's reputation.
In addition to that, AIT fraud exploits the infrastructure provided by MNOs, causing revenue loss as businesses seek alternative authentication methods.
Why CISOs should care about AIT fraud
AIT fraud, while not a direct attack or intrusion, impacts the entire organization, making it crucial for Chief Information Security Officers (CISOs) and Chief Security Officers (CSOs) to be vigilant. AIT fraud can have serious consequences, affecting financials, reputational and security risks, data integrity, regulatory compliance, and customer trust.
CISOs must also manage and mitigate financial risks related to cybersecurity, which includes countering AIT scams. To protect against AIT fraud, CISOs and CSOs should implement strong controls, monitoring systems, and user verification processes and collaborate with app developers and MNOs to combat AIT scams collectively.
Best practices to combat AIT fraud
To reduce the risk of SMS AIT fraud, organizations should deploy detection, prevention, and response strategies. They should conduct regular audits of mobile traffic and advertising campaigns to identify irregularities, ensure that teams understand the risks and signs of AIT scams, distinguish between genuine and fraudulent traffic by understanding the behavior of legitimate users, and partner with ad networks known for taking proactive measures against fraud.
Implementing technologies like reCAPTCHAv2, rate limiting, device fingerprinting, and honeypots to detect and prevent fraudulent activities, could also be a game-changing move.
