January 15, 2019 By Douglas Bonderud 2 min read

A new reverse proxy tool called Modlishka can easily automate phishing attacks and bypass two-factor authentication (2FA) — and it’s available for download on GitHub.

Polish security researcher Piotr Duszynski released the tool just weeks into the new year. As noted by ZDNet, Duszynski started the project in 2018 with the goal of writing “an easy-to-use tool that would eliminate the need of preparing static webpage templates for every phishing campaign that I was carrying out.”

He certainly succeeded. Modlishka — the English pronunciation of the Polish word for mantis — is a reverse proxy modified to handle traffic between legitimate login pages and phishing attacks. While victims receive authentic content, all traffic is routed through the Modlishka server, giving threat actors the ability to collect 2FA tokens and create authenticated user sessions. As a result, attackers don’t need to deploy any cloned template sites; if they have a valid Transport Layer Security (TLS) certificate, users are typically none the wiser.

Potential Problems Down the Road

This new 2FA-bypassing tool is problematic for several reasons. First, it’s automated and lightweight — so long as attackers can effectively spoof target domains, there’s very little chance the ruse will be detected. According to Duszynski, while some defenses — such as obfuscated JavaScript code or HTML security tag attributes — require manual adjustments, both are “fully supported by the tool and will also be improved in the future releases.”

Another big concern is that Duszynski released his code as open source on GitHub. According to SCMagazine, Duszynski said he put the tool on GitHub as a way to better prepare penetration testers and improve red team engagements, and he doesn’t support any malicious use of the tool. However, given a recent Amnesty International report that notes an increase in state-sponsored two-factor authentication attacks as well as the rise of “script kiddies” looking for prebuilt malware kits online, Modlishka will likely prove popular among threat actors.

While Duszynski makes his case with a cogent argument, saying that “without a working proof of concept that really proves the point, the risk is treated as theoretical and no real measures are taken to address it properly,” this kind of public distribution is outside the normal scope of vulnerability assessment.

Strengthen Your Two-Factor Authentication Methods

It’s not all bad news: While two-factor authentication methods such as SMS or one-time codes are susceptible to Modlishka, emerging standards such as universal second factor (U2F) remain secure. This is backed up by security experts like IBM X-Force Red’s Dustin Heywood, who recommends using 2FA wherever possible, but suggests skipping SMS codes for authenticator apps or other more secure options.

More from

Debate rages over DMCA Section 1201 exemption for generative AI

2 min read - The Digital Millennium Copyright Act (DMCA) is a federal law that protects copyright holders from online theft. The DMCA covers music, movies, text and anything else under copyright.The DMCA also makes it illegal to hack technologies that copyright owners use to protect their works against infringement. These technologies can include encryption, password protection or other measures. These provisions are commonly referred to as the “Anti-Circumvention” provisions or “Section 1201”.Now, a fierce debate is brewing over whether to allow independent hackers…

CISA Malware Next-Gen Analysis now available to public sector

2 min read - One of the main goals of the Cybersecurity and Infrastructure Security Agency (CISA) is to promote security collaboration across the public and private sectors. CISA firmly believes that partnerships and effective coordination are essential to maintaining critical infrastructure security and cyber resilience.In faithfulness to this mission, CISA is now offering the Malware Next-Generation Analysis program to businesses and other organizations. This service has been available to government and military workers since November 2023 but is now available to the private…

Social engineering in the era of generative AI: Predictions for 2024

5 min read - Breakthroughs in large language models (LLMs) are driving an arms race between cybersecurity and social engineering scammers. Here’s how it’s set to play out in 2024.For businesses, generative AI is both a curse and an opportunity. As enterprises race to adopt the technology, they also take on a whole new layer of cyber risk. The constant fear of missing out isn’t helping either. But it’s not just AI models themselves that cyber criminals are targeting. In a time when fakery…

Topic updates

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