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Google adds end-to-end Gmail encryption to Android, iOS devices for enterprises | CSO Online

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Stopping AiTM attacks: The defenses that actually work after authentication succeeds
2026-04-28 · via Google adds end-to-end Gmail encryption to Android, iOS devices for enterprises | CSO Online

Anjali Gopinadhan Nair

by Anjali Gopinadhan Nair

Opinion

Apr 28, 20268 mins

The security industry has spent years building better authentication. Longer passwords, second factors, hardware tokens. And attackers responded by moving past authentication entirely.

Adversary-in-the-middle (AiTM) phishing does not steal credentials and replay them. It sits between the user and the legitimate service, watches a real authentication succeed in real time, and walks away with the session token that proves it happened. The login was genuine. The MFA prompt was real. The attacker just observed — and copied the result.

If you have read the analysis of how these attacks work, you understand the mechanism. This piece is about what comes after that understanding. Specifically: What controls reduce risk when the attack does not touch credentials at all?

Why most current defenses miss the point

The instinct after learning about AiTM phishing is to strengthen authentication. Buy hardware keys. Deploy passkeys. Force phishing-resistant MFA for privileged accounts.

That instinct is correct but incomplete.

Phishing-resistant authentication stops the credential theft phase. FIDO2 and passkeys bind the authentication challenge cryptographically to the legitimate domain, so a proxy domain cannot complete the handshake. This works. Organizations that have deployed passkeys broadly have significantly reduced their AiTM exposure at the authentication layer.

But authentication is not the only layer that matters. Session tokens issued after successful authentication are the real target, and most organizations treat them as inherently trustworthy once issued. They are not.

A session cookie is a bearer token. Whoever holds it is authenticated. There is no cryptographic binding between the token and the device that generated it, no ongoing proof that the holder is who they claim to be, and no automatic expiry triggered by location change or device mismatch. An attacker who steals a session token in one country can replay it from another, and the identity provider will accept it as legitimate.

This is where most defenses currently have a gap.

The 3 controls that close the gap

Control #1: Bind sessions to managed devices

The most impactful single control for session security is requiring managed, compliant devices as a condition of accessing sensitive resources. When access policies — such as Microsoft Entra Conditional Access — require that the device presenting a session token is enrolled, managed and meets compliance requirements, stolen tokens become significantly harder to replay.

An attacker who intercepts a session token cannot easily replay it from an unmanaged machine if the policy requires device compliance. The session gets terminated. The attacker needs not just the token but also a compliant device — a much higher bar.

This control is not foolproof. Sophisticated attackers can attempt to compromise managed devices directly. But it eliminates the easiest replay vector: Taking a stolen token and opening it in a browser on a completely different machine.

The practical challenge is rollout. Requiring managed devices for all users immediately creates friction for contractors, part-time workers and anyone using personal devices for work. The pragmatic approach is to start with the highest-risk access: Administrative roles, finance systems and any application handling sensitive data. Expand from there as device management coverage improves.

Control #2: Monitor for post-authentication anomalies

AiTM attacks do not generate failed login attempts. They generate successful ones. Traditional monitoring focused on authentication failures will miss these attacks entirely.

The signals that matter are in what happens after authentication succeeds. Specifically:

  • Impossible travel. If a session authenticates from one location and then accesses resources from a geographically distant location minutes later, that warrants investigation. The time between events matters — a session that authenticates in New York and then accesses resources from a different continent thirty minutes later is not a normal user scenario.
  • New device registration. Attackers who gain session access often immediately register a new MFA device or add a new authentication method to ensure persistent access. A new device registration occurring within minutes of a successful login is a high-fidelity signal worth alerting on.
  • Inbox rule creation. A consistent post-compromise behavior across many attack campaigns is the creation of email forwarding rules or inbox filters designed to hide security alerts and forward communications to attacker-controlled addresses. Microsoft’s own incident response teams have documented this pattern repeatedly. Monitoring for inbox rule creation, particularly rules that forward externally or hide emails containing specific keywords, catches this behavior reliably.
  • Privilege escalation attempts. Attackers who gain access to a standard user account typically attempt to escalate to higher-privilege roles or access administrative interfaces. Anomalous access attempts against admin portals or privilege management systems shortly after a new session authentication are worth flagging.

None of these signals is conclusive on its own. But building detection rules around the combination — successful authentication followed by impossible travel followed by new device registration, for example — creates a detection capability that catches AiTM post-compromise activity that authentication monitoring misses entirely.

Control #3: Shorten session lifetimes for high-value access

Long-lived session tokens give attackers more time to operate after a successful interception. A token that remains valid for seven days provides a much larger window than one that expires after an hour and requires reauthentication.

The friction of more frequent reauthentication is real. Users notice. For productivity applications used continuously throughout the day, aggressive session timeouts create a poor experience.

The answer is risk-based session management rather than uniform policies. Sessions accessing low-sensitivity productivity tools can have longer lifetimes. Sessions accessing financial systems, administrative interfaces, HR data or anything handling regulated information should have short lifetimes and require reauthentication before performing sensitive operations. NIST’s Digital Identity Guidelines provide a useful framework for thinking about session timeout thresholds by assurance level.

This approach concentrates the friction where the risk is highest, which makes it more defensible to users and leadership alike.

The training problem has not gone away

Technical controls reduce risk. They do not eliminate it. Users remain part of the attack surface, and the awareness training most organizations provide does not prepare them for what AiTM phishing looks like.

Traditional phishing training teaches people to look for indicators of fake pages: Misspellings, suspicious URLs, unusual sender addresses. AiTM phishing pages show none of these indicators because they are not fake. They proxy the real service in real time. The URL may be suspicious, but users who click links in emails rarely check URLs carefully, even after training.

The one behavioral change that reduces AiTM exposure is simple and teachable: Do not start authentication flows from links in emails. Navigate directly to the service. Bookmark login pages. If you receive an email telling you to log in somewhere, open a browser tab and type the address yourself rather than clicking through.

This sounds obvious. It is not instinctive. Most users have spent years clicking login links in emails because it is faster and those links usually are legitimate. Changing that behavior requires explicit, repeated training that explains why the old approach is no longer safe — not just instruction to be more suspicious of phishing generally.

Pair this with a low-friction reporting mechanism. Users who notice something feels wrong should be able to flag it in seconds. The value of early reporting in limiting the damage from a successful session compromise is significant, and that value disappears if reporting requires effort or feels like it will generate blame rather than action.

The honest assessment

AiTM phishing is a real and growing threat. Phishing-as-a-Service platforms like Tycoon 2FA and FlowerStorm have lowered the barrier to entry to the point where this is no longer an advanced technique requiring sophisticated threat actors. It is a commodity attack available to anyone willing to pay a subscription.

The organizations that reduce their exposure are those that treat session security as seriously as credential security, build detection capability around post-authentication behavior rather than just failed logins, and give users a realistic model of how modern phishing works.

Phishing-resistant authentication is the right long-term direction. Getting there takes time, budget and change management. In the meantime, the controls above provide meaningful risk reduction without waiting for full passkey deployment.

The goal is not to make AiTM attacks impossible. It is to make them expensive enough that attackers move on to easier targets.

This article is published as part of the Foundry Expert Contributor Network.
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Anjali Gopinadhan Nair

by Anjali Gopinadhan Nair

Contributor

Anjali Gopinadhan Nair currently serves as a cybersecurity engineer at Everway, where she specializes in identity and access management (IAM), cloud security and threat intelligence. She is recognized for her technical expertise in architecting security frameworks that address the critical challenges of identity sprawl and non-human entity vulnerabilities across enterprise environments.

Anjali is an active contributor to the global cybersecurity community, where she shares original research on emerging digital threats to help organizations navigate the evolving identity landscape. She is dedicated to advancing "identity-first" security postures and frequently provides strategic analysis on the intersection of identity governance and automated threat response.

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