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Google's threat intelligence group says the clusters walk targets through real app-password, OAuth and WhatsApp device-linking flows. The audit log then records consent, not compromise.
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A user who generates an app password and pastes it into a chat window has done nothing a validator can reject. The value is real, the provider issued it, and the login that follows is a correct login. Google's summary reflects that: the signals it offers are sequences rather than artefacts, such as an app password created and then immediately followed by abnormal logins, or access from an unknown address arriving right after an OAuth authorisation [10].
Timing is therefore most of the evidence, and the same write-up says post-compromise access arrives over residential proxies or dedicated infrastructure [11]. That removes the improbable-geography half of the usual heuristic. What is left to correlate is an authorised consent event against a session that looks ordinary except for being new.
The four domains named do not all attempt the same deception [13]. dosportal.app and foreignrelations.us do not impersonate a login brand at all, while wa-connect.eu and drive.google.verify-drive.com do [2]. The first pair has no need to, because the pretext is an invitation to a diplomatic event or a notice about a shared document rather than a demand to sign in [15]. Someone trained to inspect the address bar before typing a password finds nothing to object to on a page that never asks for one.
The attribution is looser than the framing implies. The work is presented as distinct clusters, and the entity list carries four names: UNC6293, UNC7005, UNC5976 and ICE RELIC, given as APT29 [2][1]. The summary does not say which cluster runs which flow, so what transfers into a detection backlog is the technique rather than the actor.
The remediation side is administrative: revoke or block app passwords, enable anti-phishing MFA and advanced protection, audit WhatsApp linked devices on a schedule, and have the target confirm the invitation with the real event organiser on another channel [14]. Not one of those is a mail filter, and only the last intervenes while the attack is still running. Where personal accounts are involved, and Google notes the activity may leave no trace in corporate systems at all [12], every one of those controls has to be exercised by the account holder rather than by an administrator. That is the part worth arguing about internally: the identity events that matter here are generated by the user, on infrastructure the employer does not read, and the recovery step is a person deciding to check their own linked devices.
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Ranked by verification strength, evidence, and original report placement.
Google Threat Intelligence Group published "Going with the Flow(s): Distinct Clusters Target Individuals of Interest to Russia" on 2026-08-20, rated high severity.
The report's related-entities list names the groups UNC6293, UNC7005, UNC5976 and ICE RELIC (APT29).
Attackers use fake login pages but also trick users into completing legitimate actions including app password creation, OAuth logins and WhatsApp device linking, which lets them steal credentials and user sessions.
Posing as diplomats or other known contacts, attackers get the target to create a legitimate app password or complete an external OAuth login, then to share the generated value, confirmation code, or full redirect URL, which the attacker uses to access the account.
In the WhatsApp path, targets are lured to a page resembling a secure call, chat or document-sharing tool; the phone number they enter is used to start a legitimate device-linking request, a QR or linking code is displayed, and approval connects the attacker's device to the account.
If the user selects a fake call option, the site requests browser camera and microphone permissions and sends the recorded data to the attacker's API; indicators include browser behaviour that accesses camera and microphone and sends WebM files.
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Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Detailed first-party report, one relaying publisher
The technical substance is specific and checkable — per-path mechanics, victim-side telemetry, enumerated detection signals, four IOC domains, a recording upload path and named malware families — and it originates with Google Threat Intelligence Group, which has direct visibility into the abused Google flows. Against that, the cluster contains exactly one relaying publisher summarizing the report rather than the report itself, no independent corroboration, and no group-to-path attribution, so individual claims rest on a single chain of custody.
Confirmed in-the-wild activity, scale undisclosed
The report describes activity already observed against real targets, with malware execution traces, indicator domains and a triage ladder that runs from attempt-observed to confirmed session compromise — so this is operational, not theoretical. But the supplied material gives no victim counts, no affected-organization names, no geography and no campaign duration, and only one publisher has picked the report up, so the observed footprint cannot be sized.
Slightly overstated framing over solid mechanics
The mechanics and defender guidance are described soberly and match the source, so the gap is small. It is positive rather than zero because the cluster framing outruns the evidence: the relaying headline asserts three clusters while four groups are listed, one of which is an existing tracked actor, and no group is tied to a path — a distinctness claim the supplied material does not carry. Absent victim counts, the impact language also sits ahead of any demonstrated scale.
Vendor reporting on abuse of its own flows and remedies
The originating publisher is the security arm of the vendor whose OAuth, Cloud and app-password surfaces are being abused, and part of the recommended fix is enabling that vendor's anti-phishing MFA and advanced protection — a documented alignment between the finding and the vendor's product guidance. The framing offsets this partly by presenting the abuse as working-as-designed behavior in its own flows and by including non-product mitigations such as out-of-band verification. The relaying dev.to post shows no disclosed commercial interest in the supplied material.
Moderate: credible origin, thin corroboration
Confidence is held mid-range: the source is a capable first-party threat team and the detection detail is granular enough to act on, but everything reaching this cluster does so through one community summary, the attribution structure is internally inconsistent, and no scale, timeline or second publisher exists to cross-check. Technique-level claims are well supported; cluster-distinctness and impact-breadth claims are not.
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dev.to
1 article · August 21, 2026