
Zero-Click Spyware Delivered via Targeted Ads: AdFection
This is the first-ever public confirmation of zero-click mercenary spyware delivered via targeted ads. We call the technique AdFection, and show how it was used to infect devices at Al Jazeera with Candiru’s spyware. We…
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This is the first-ever public confirmation of zero-click mercenary spyware delivered via targeted ads. We call the technique AdFection, and show how it was used to infect devices at Al Jazeera with Candiru’s spyware. We also uncover Discover-Tech, and show how the company helps mercenary surveillance vendors track and hack devices around the world.
Bill Marczak, Wolfie Christl, John Scott-Railton, Astrid Perry, Siena Anstis, and Ron Deibert
This section provides an overview of the online advertising ecosystem, and summarizes our findings about Discover-Tech.
When a user sees an ad on an app or a website, it is likely the result of a real-time auction, where advertisers bid on the chance to show that specific user that specific ad. So-called Real-Time Bidding (RTB) auctions, which are hosted on ad exchanges operated by companies including Google, take place hundreds of billions of times a day. In less than a second, the user’s device initiates a bid request, advertisers submit their bids, and the ad exchange determines the winner of the auction and pushes the ad to the user. Besides an image or video, an online ad can also contain code that runs within the app or browser that shows the ad.
Both advertisers and publishers of apps and websites use ad vendors that act as their intermediaries in these auctions. Advertisers typically buy ads via a so-called Demand-Side Platform (DSP), and a Supply-Side Platform (SSP) sells ad inventory on websites and apps.
Figure 1
Basic architecture of the online advertising ecosystem.
Malicious actors make use of two interrelated facets of the online advertising ecosystem:
The advertising ecosystem collects a lot of data and enables individual-level targeting: When a publisher of an app or website wishes to show ads, they add code from an SSP to their app or site. This code collects and shares granular information about the user and their device with ad exchanges to solicit bids for the ad slots. This information can include device identifiers and characteristics, precise location, and IP address data, as well as data about the app or website, and specifications about the ad slot. The DSP or advertiser then examines this information and decides whether they wish to bid on the impression in order to show an ad. The auction system is designed to enable targeting single individuals based on their mobile advertising ID, cookie ID, IP address, and other identifiers.
The advertising ecosystem allows many different third parties to run code in apps and websites: It is tempting to think of an online ad as, simply, a video or image. However, ads themselves may contain code from the advertiser, DSP, and other parties, and run it in the app or browser while the ad is shown to the user, for example to track users, ad impressions, and clicks. Code run by advertisers, DSPs, SSPs, and other third parties within apps and websites is often referred to as “tags”, “pixels”, “SDKs”, or “third-party tracking” more generally.
The totality of information gleaned from ad auctions is quite valuable. A company with access to auction data can track users without their knowledge as they move around in physical space, or switch between cellular, Wi-Fi, and VPNs, by observing how bid requests tied to a specific identifier change location or IP address over time. In fact, the surveillance industry sells access to so-called ad intelligence (ADINT) platforms that leverage this sort of data, often combined with third-party tracking data. In recent years, several investigations and media reports have uncovered vendors that sell ADINT to defense, intelligence, and law enforcement agencies.
Beyond passive data harvesting, malicious parties can also exploit this infrastructure to target certain individuals based on user data included in ad auctions and then run malicious code on their devices. Advertisers or DSPs may run HTML and JavaScript code when an ad is shown to the user. That code retrieves additional JavaScript code, which may, in turn, load further code, such as a browser exploit to install spyware. Since the code can contain identifiers for the user or their device, arbitrary JavaScript code can be sent precisely to a single user’s device. Our research in this report indicates that this architecture is indeed abused to facilitate the delivery of zero-click targeted spyware, and that the simple display of a targeted ad is enough for infection.
We present technical evidence that the Israel-based company Discover-Tech, while purporting to be a legitimate advertising company, appears to be a front for large-scale ad espionage abuse, including the automatic delivery of mercenary spyware when ads are displayed to a target and the mass profiling and deanonymization of users.
The company serves as a bridge between ad vendors and the mercenary spyware ecosystem. In fact, it appears that serving as this bridge is Discover-Tech’s primary purpose. Its platform, Controlium, allows malicious actors to precisely profile and de-anonymize millions of individuals, fingerprint their devices, and target them with a form of zero-click hacking, where their devices can be automatically infected when an ad is displayed to them.
Figure 2
The website of Integrity Labs (the rebranded Candiru), one of the mercenary spyware companies working with Discover-Tech.
Discover-Tech appears to work with multiple mercenary spyware, hacking, and advertising vendors, connecting the spyware industry to the online advertising ecosystem. As we detail in this report, Discover-Tech ads are used to infect and profile on behalf of mercenary spyware vendor Candiru. We also detail connections between Discover-Tech and another mercenary hacking company, Bindecy, as well as connections with Intelos, a mercenary ADINT firm.
Discover-Tech is led by its CEO Dekel Boni, who has a background in digital advertising. Eric Banoun, whom Haaretz describes as “one of the pioneers of offensive cyber in Israel”, joined the company’s board of directors soon after it was founded in 2020 and remained there until 2025. Between 2020 and March 2026, Discover-Tech’s shareholders included a company linked to Sara Hamou, who has managed the corporate network of the spyware group Intellexa.
A large number of ads placed by Discover-Tech contain a script tag pointing back to what the company refers to as a “NOAS server” (also called a “getAd server”). This tag causes the ad, when rendered, to connect back to Discover-Tech, submit advertising identifiers for the user (either a cookie ID or a mobile ad ID), and automatically execute any JavaScript code returned. The NOAS server decides, apparently based on a combination of the source IP address and the advertising identifiers, whether the target is eligible to receive any JavaScript. If so, then code is returned. If not, a 0-byte response is returned. The NOAS server is a key part of Discover-Tech’s strategy, allowing Discover-Tech to avoid directly sharing malicious code, or even pointers to malicious code, with the companies who serve and display the ads.
Figure 3
Discover-Tech bridges the mercenary spyware industry with the online advertising ecosystem.
As detailed in Section 9, Discover-Tech appeared on several lists of “certified” and “approved” ad vendors maintained by Google and the advertising industry association IAB Europe from the year 2020 until 2026. These listings helped make Discover-Tech appear to be a legitimate ad vendor and facilitate its participation in the digital advertising ecosystem at scale.
As a result of this investigation, both Google and IAB Europe removed Discover-Tech from their ad vendor registries in early October 2026. Google, which collaborated in the investigation, terminated Discover-Tech’s access to its ad exchange platforms. Beeswax removed Discover-Tech from its ad buying platform, Vungle (Liftoff) paused Discover-Tech’s access while conducting a review, and Eskimi blocked Discover-Tech’s accounts and domains.
In this report we provide an overview of the different types of ad abuse facilitated by Discover-Tech, the company’s ad targeting systems and practices, as well as its partners and corporate network.
In Section 2, we show how Candiru works with Discover-Tech to conduct AdFection attacks, and describe one such attack: the targeting and infection of devices at the international media network Al Jazeera with Candiru’s mercenary spyware.
In Section 3, we examine Controlium, a Discover-Tech platform that provides a control-panel style interface enabling mercenary spyware customers to target specific users with “controlled ads.”
In Section 4, we examine links between Discover-Tech and mercenary spyware companies Candiru/Integrity Labs and Bindecy. We then outline their relationships with other mercenary surveillance companies, including advertising intelligence (ADINT) vendor Intelos, and an ADINT vendor we refer to as DARK CARTOGRAPHER, which is building databases linking users’ mobile advertising identifiers to their phone numbers.
In Section 6, we use technical analysis to examine how Discover-Tech deploys ads, tracks users and exchanges user identifiers with other ad vendors, including with Beeswax, Yandex, and Microsoft’s ad system Xandr.
In Section 7, we present our research on Discover-Tech Ltd, its corporate network, key persons linked to the company, the origins of its MyDSP advertising technology, and its connection to the wider advertising ecosystem.
In Section 8, we summarize what is known about the mercenary surveillance firms Candiru, Bindecy, and Intelos, and we further examine their activities and corporate networks in the context of the findings presented in our report.
In Section 9, we explore how major industry organizations and ad vendors helped enable Discover-Tech’s ad operations, including Google, IAB Europe, Beeswax (FreeWheel/Comcast), Vungle (Liftoff), Eskimi, Sunteng, and Xandr (Microsoft).
In Section 10, we discuss the implications of AdFection for user security and human rights.
In Section 11, we provide recommendations to lawmakers, regulators, defenders, and the advertising industry on how to mitigate and block threats from AdFection-style attacks.
The Citizen Lab sent requests for comment to 13 companies; their responses are included in full in the ‘Correspondence with Companies’ section.
This section provides the first public technical confirmation of a zero-click spyware attack via targeted ads in the wild: the targeting and infection of devices at the international media network Al Jazeera with mercenary spyware. We refer to this type of attack as AdFection. Using network analysis, infrastructure fingerprinting, and analysis of implant behaviour, we connect Discover-Tech’s infrastructure with the distribution of Candiru’s mercenary spyware.
The instances of Candiru AdFection via Discover-Tech ads all share similar characteristics. First, Discover-Tech wins a bid, and one of their ads is pushed to a website or app that is open on a user’s device. The user may see this ad, such as in Figure 4, though in some cases the ad may render in the background.
Figure 4
Discover-Tech ads that could have infected users with spyware. We were served these ads while browsing the CBC and Yahoo websites, and while using a Sudoku app on Android.
When the website or app receives the ad, it renders it, requesting JavaScript from a Discover-Tech server embedded within the ad. In most cases, the user who sees the ad is not selected for targeting, and the server will not return any JavaScript to be executed. Nevertheless, the ad will still gather data from the user’s browser and submit it back to Discover-Tech, which can include cookies set on the webpage including the ad, as well as the device’s public IPv6 address.
In 2024 and 2025, international news network Al Jazeera was targeted in a series of zero-click attacks that we link with high confidence to Candiru’s spyware delivered via Discover-Tech’s ads
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