Article Summary: AI-enhanced fraud is changing how criminals target finance teams (especially Accounts Payable). Attackers can use AI to produce convincing emails, realistic invoices and even cloned voices that bypass the red flags teams once relied on. The most effective defense combines stronger verification steps, tighter payment processes and a culture where pausing to confirm details is always supported.
It is a statistic that sends a shiver down the backs of SME owners, managers and employees.
According to the FBI's 2025 Internet Crime Report, business email compromise (BEC) cost US businesses more than $3 billion last year.
This makes it one of the most financially damaging cybercrimes on record.
AI has made these attacks harder to detect. The question for AP teams is no longer whether they can identify suspicious requests. It is whether the processes around payments make fraud difficult regardless of how convincing it looks.
Why AP Teams Are in the Crosshairs
Accounts payable sits at the intersection of trust and timing. AP teams process invoices, manage supplier details and execute payments often under pressure to keep operations running smoothly.
For attackers, that combination is ideal.
Most successful fraud does not involve breaking into systems.
The FBI's Internet Crime Complaint Center (IC3) has consistently found that BEC attacks rely on impersonation. This involves posing as a trusted executive, supplier or internal colleague to redirect payments or update bank details before anyone notices.
AI has made that impersonation dramatically more scalable.
Where it once required skill and time to craft a convincing request, tools are now widely available that automate the research, writing and contextual tailoring that make fraud blend into normal AP workflows.
By mid-2024, an estimated 40% of BEC phishing emails were already AI-generated with that share expected to grow significantly.
What AI-Enhanced Fraud Looks Like in Practice
Emails That Blend into Normal Workflow
Traditional phishing relied on volume and imperfection. AI has changed that.
Modern BEC emails are grammatically correct and written in the specific tone of the executive or supplier being impersonated. They reference active projects, current invoice numbers and upcoming payment runs.
For AP teams processing high volumes of routine communications, that level of familiarity is exactly what lowers the guard.
Invoice and Payment Redirection
One of the most common AP fraud patterns involves payment redirection.
Attackers may intercept a legitimate invoice exchange and quietly alter the destination account. They then send a short message claiming a supplier has updated its banking details or re-issue a real invoice with minor modifications.
The surrounding content looks entirely legitimate because it is drawn from real correspondence.
Voice Cloning and Executive Impersonation
Email isn’t the only channel being exploited.
AI voice-cloning tools can replicate a person’s voice from a short audio sample. That makes it possible to leave convincing voicemails or place calls that sound like a known executive.
For AP teams accustomed to verbal approvals on high-value or urgent payments, this removes one of the few remaining verification methods that email security alone cannot address.
Why Traditional Checks No Longer Work
Security awareness training still matters and investing in it remains worthwhile. However, AI has changed what AP teams are up against.
Attacks no longer contain the signals that training programs once focused on like awkward phrasing, mismatched logos, odd sender addresses or generic greetings.
Modern fraud emails can reference the recipient's organization, active suppliers and current invoice values drawn from publicly available or previously intercepted sources.
When a fraudulent request is indistinguishable from a legitimate one, placing the burden of detection on the AP team puts it in the wrong place.
The organizations that reduce risk are not asking staff to be more suspicious. They are building verification processes that work independent of how a message looks.
Building Process Around the Risk
The most effective defense is not sharper instincts. It is removing ambiguity from high-risk actions.
Out-of-band Verification as Standard
Any request to change supplier bank details or approve an urgent payment outside the normal cycle should require secondary confirmation through a known independent channel (not a reply to the same email thread). Calling a supplier on a number already on file or confirming with a colleague directly breaks the impersonation chain regardless of how convincing the original request appeared. This step does not require technology. It requires a written procedure and the team's habit of following it.
Layered Access and Authentication Controls
Restricting access to financial systems and enforcing multi-factor authentication limits the damage a compromised account can cause. If an attacker gains access to a vendor's email, MFA requirements on the receiving end create friction that can slow or stop a fraudulent change before any money moves.
A Culture that Supports Slowing Down
Fraud prevention improves when staff feel safe questioning requests (including from senior leadership).
A team member who pauses a payment to verify it is not being obstructive. They are doing exactly what good process requires.
Building that culture starts with leadership modeling the behavior and making clear that slowing down on high-risk actions is always the right call.
The FBI's 2025 Internet Crime Report included a dedicated AI section for the first time and logged more than $893 million in AI-enabled scam losses across more than 22,000 complaints.
When verification is standard and questioning is encouraged, AI-enhanced fraud loses much of its advantage.
The technology attackers use is advancing quickly but the process controls that contain the damage do not need to be complicated. They need to be consistent.
Shift the Burden from People to Process
Concerned about AI-enhanced fraud targeting your finance teams or clients?
Contact us or schedule a consultation to review your current controls and identify where the most important gaps are.
Article FAQs
Why are Accounts Payable teams targeted so often?
AP teams manage payments and supplier details which makes them a direct path for attackers to move money without breaching technical systems.
Can awareness training alone stop AI-driven fraud?
No. Awareness helps but AI scams often look legitimate. Strong verification processes are essential.
Is voice-based fraud really a risk?
Yes. AI voice cloning allows attackers to impersonate executives convincingly which makes phone-based approvals vulnerable.
Article Summary: Adversary-in-the-Middle (AiTM) attacks are a modern phishing technique that steals active login sessions instead of just passwords. Understanding how AiTM works helps businesses reduce exposure to phishing-resistant sign-ins, tighter session controls and faster detection of suspicious access.
You click a link, sign in, approve the MFA prompt and get on with your day while completely unaware that someone else just logged into your account at the same moment.
That scenario surprises many businesses and particularly those that rely on multi-factor authentication (MFA) to protect cloud accounts. However, this is exactly how Adversary-in-the-Middle (AiTM) phishing attacks work.
Rather than stealing passwords for later use, these attacks silently hijack an already-authenticated session in real time.
MFA remains a core control and getting it implemented correctly is still a critical first step for any business.
AiTM attacks exploit something MFA was never designed to protect which is the trusted session that exists after authentication has already completed.
Phishing Has Moved Beyond Passwords
Phishing remains the most common starting point for account compromise but the objective has changed.
Traditional phishing collected usernames and passwords. Modern phishing is after something more immediately useful which is the authenticated session itself.
Security researchers have documented a significant shift toward session and token theft where attackers intercept the authentication process as it happens.
Rather than reusing stolen credentials (which MFA typically blocks) they wait until the user successfully completes login and then steal the session token that proves it already occurred.
The technique has matured quickly. Phishing-as-a-Service (PhaaS) platforms now supply ready-made proxy toolkits that let even low-skilled attackers run AiTM campaigns targeting Microsoft 365 and Google Workspace.
How AiTM Attacks Actually Work
The fake login page that isn’t fake.
An AiTM phishing site is not a basic replica of a login page. It is a live reverse proxy.
The attacker’s infrastructure sits between the user and the real authentication service. Every keystroke, redirect and server response flows through the attacker’s system in real time. From the user’s perspective, nothing looks wrong.
The page behaves exactly like the real service with correct branding, working redirects and a functioning MFA prompt. In most cases, the only clue is a slightly altered URL that goes unnoticed on a mobile screen or when someone is under time pressure.
Why doesn't MFA stop it?
This is where many security assumptions fall apart.
MFA protects the moment of authentication but not what comes after it.
Once a user successfully completes MFA, the service issues a session cookie. What this means is that the cookie signals to the application that the user is already verified. From that point, no password or MFA prompt is required. The system trusts the token. Whoever holds the cookie holds the access.
AiTM attacks simply wait for that cookie to be issued and then steal it.
Microsoft tracked a 146% rise in AiTM attacks over the past year as cybercriminals increasingly shift focus to accounts already protected by MFA.
Much of this increase is driven by PhaaS platforms like Evilginx that allow even low-skilled attackers to run convincing reverse-proxy campaigns at scale while targeting major cloud identity providers with minimal setup.
Session Cookies
Session tokens act as bearer credentials. Whoever possesses the token can access the account with no password or MFA challenge required.
Once the cookie is stolen, the attacker imports it into their own browser and immediately resumes the session.
This is a session replay attack. The attacker does not log in. They pick up where the legitimate user left off inside a fully trusted and already-verified session.
What Happens After a Session Is Stolen
The aftermath of an AiTM attack tends to be quiet which is precisely what makes it dangerous.
The attacker is operating inside a legitimate authenticated session. There are no failed MFA attempts, no unusual login alerts and nothing in standard sign-in logs to signal a problem.
Research from Proofpoint shows that attackers who gain access through session hijacking commonly create hidden inbox rules to redirect mail, register additional MFA methods to lock in persistent access, monitor email threads for financial conversations and use the trusted account to launch phishing campaigns against internal colleagues or finance teams.
These follow-on actions are a key reason AiTM attacks are frequently uncovered late after financial fraud, data exposure or wider network compromise has already begun.
Reducing Your Exposure
MFA is still essential. Building strong authentication practices remains the starting baseline but reducing AiTM risk requires controls that extend beyond the login event itself.
Adopt Phishing-Resistant MFA
Methods like FIDO2 hardware keys and passkeys bind authentication to the specific device and the legitimate domain. A proxy in the middle cannot relay them. The process fails if the URL is not the real one.
The Canadian Centre for Cyber Security analyzed over 100 AiTM campaigns targeting Microsoft Entra ID accounts. It found that phishing-resistant MFA consistently blocked session theft where standard MFA methods (including push notifications and one-time passcodes) did not.
Tighten Conditional Access Policies
Detecting AiTM compromise typically means watching for activity after login: new MFA method registrations, inbox rules created outside business hours, access from unfamiliar locations or unusual data activity.
Authentication logs alone will not surface the problem.
Train Users on URL Awareness
Employees who understand that a working MFA prompt on an unfamiliar-looking page still represents a risk are better positioned to pause, check the URL and report before a session is compromised. A brief team walkthrough of what AiTM lures look like in Microsoft 365 contexts can meaningfully reduce exposure.
Stop Protecting Just the Login Screen
MFA is a baseline rather than a finish line. The businesses that reduce AiTM risk are the ones that understand how sessions, tokens and identity trust actually work and they build controls around each layer rather than just the login screen.
Want to review your identity security controls?
Contact us or schedule a consultation to identify the gaps that matter most before an incident does it for you.
Article FAQs
What is an Adversary-in-the-Middle (AiTM) attack?
An AiTM attack is a phishing technique where attackers use a proxy to intercept login sessions in real time which allows them to steal session cookies after authentication completes.
Can AiTM attacks bypass MFA?
Yes but not by breaking MFA. AiTM attacks wait until MFA succeeds and then steal the authenticated session token so no further verification is required.
How can businesses reduce the risk of AiTM attacks?
Using phishing-resistant MFA, tightening conditional access policies, training users and monitoring for unusual session behavior all help reduce exposure.
MFA is a strong front-door lock. However, it is not the only thing that decides whether someone can get in.
After you sign in, your browser keeps you logged in using a session token (often stored as a session cookie). It is the digital version of a wristband at an event. Once you have been checked, the wristband proves you belong there. If an attacker steals that wristband, they may not need to beat your MFA prompt at all.
That is the core of session cookie hijacking. The attacker isn’t “cracking” MFA. They are skipping it by replaying your already authenticated session.
This is not a reason to stop using MFA. It is a reason to stop treating MFA as the finish line.
When sessions can be stolen, the practical defense shifts to layered controls: phishing-resistant sign-ins, device hygiene, tighter session policies and detection that catches suspicious access early.
Why MFA Isn’t a “Game Over” Control
MFA is still one of the best upgrades most businesses can make but it doesn’t end an attack on its own. The reason is that attackers don’t always try to beat the login step. They try to go around it.
Cloudflare notes that “attackers are finding new ways to circumvent MFA” and that modern incidents are rarely one isolated technique. They are part of a chain of attacks.
In other words, MFA can block a lot of credential theft but it doesn’t automatically protect what happens after a user successfully signs in.
That is where session cookie hijacking comes in.
Microsoft has described adversary-in-the-middle phishing campaigns where attackers use a reverse-proxy site to “steal and intercept” a user’s password and the session cookie that proves they have an authenticated session.
This is “not a vulnerability in MFA.” The attacker isn’t breaking the MFA. They are reusing the session.
What a Session Cookie Is and Why Attackers Want It
When you sign into a web app, the site needs a way to remember that you have already proved who you are. That is what a session is. It is a temporary “logged-in” state that saves you from entering your password and MFA code on every click.
Kaspersky explains that session hijacking is “sometimes called cookie hijacking” because cookies are commonly used to store the session identifier that keeps you authenticated.
Attackers want that session identifier because it is the shortcut.
Proofpoint describes session tokens as digital “keys” that let a user stay authenticated. It warns that stealing valid tokens lets attackers impersonate legitimate users and potentially bypass authentication measures “like MFA.”
That is why session cookie hijacking is so highly leveraged.
If an attacker can steal the cookie or token that represents your active session, they are not trying to defeat the login process. They are attempting to reuse what you already completed and access the same apps and data as if they were sitting at your keyboard.
How Session Cookie Hijacking Actually Happens
A lot of teams picture “account takeover” as someone guessing a password or tricking a user into approving an MFA prompt.
Session cookie hijacking is different. The attacker’s goal is to steal the proof that you are already logged in and then reuse it without triggering another sign-in challenge.
1.) AiTM Phishing
Adversary-in-the-middle (AiTM) phishing is the “proxy login” trap.
You think you are signing into a normal service but you are actually signing into a lookalike page that sits between you and the real site. The attacker relays the login in real time so everything appears to work (including MFA).
Attackers use AiTM phishing sites to “steal and intercept” a user’s password and the session cookie that proves the authenticated session. This is “not a vulnerability in MFA”. The attacker isn’t breaking the MFA. They are capturing the session after MFA is completed and reusing it.
One such campaign “attempted to target more than 10,000 organizations” since September 2021 which shows how scalable this approach has become.
2.) Browser-in-the-Middle Session Stealing
Browser-in-the-middle (BitM) is similar in spirit but it is even more “hands-on” from the attacker’s side.
Instead of stealing a password and running away, the attacker effectively places themselves in control of the browsing session.
Google’s threat intelligence says, “Stealing this session token is the equivalent of stealing the authenticated session.” Once the token is stolen, “an adversary would no longer need to perform the MFA challenge”.
In other words, the attacker isn’t trying to authenticate instead of you. They are trying to ride along after you have authenticated.
3.) Cookie Theft from the Endpoint
Not every session hijack starts with a fancy proxy. Sometimes the attacker simply steals session data from the device itself.
Stealing valid session tokens allows attackers to impersonate legitimate users. Tokens act like digital “keys.” If an endpoint is compromised, those “keys” can be extracted and reused.
Invicti explains that an attacker steals HTTP cookies and can gain access. The goal is often to obtain sensitive information stored in cookies.
MFA Is a Baseline Rather Than a Finish Line
MFA is still essential. It blocks a huge amount of credential theft and makes basic account takeover harder. However, session cookie hijacking is a reminder that attackers don’t always try to defeat the login step. Sometimes they reuse what happens after it.
The practical response is layered and realistic. Make phishing harder to pull off and treat device health as part of identity. Tighten session behavior for high-risk apps. Watch for suspicious access patterns that suggest a session is being replayed.
When those controls work together, MFA stops being a comforting checkbox and becomes what it should be: a strong baseline that is backed by protections around the session itself.
Contact us today for help protecting your login sessions from hijacking.
The most dangerous thing in a server room is often the phrase, “Don’t touch that.”
It is usually said with a half-joke and a grimace. It refers to the old box that “still works”, runs something important and has survived so many fixes and workarounds that nobody feels confident changing it anymore.
That is legacy debt.
Not just “old tech”. Old tech that has become a dependency. It is the kind that quietly accumulates risk until it turns into downtime, security exposure or an emergency upgrade at the worst possible time.
A legacy debt audit is the fast way to bring that risk back into the light.
What Legacy Debt Really Looks Like
Legacy debt isn’t “old gear”. It is old gear that has become normal.
It is the server that runs a critical app, the edge device nobody remembers buying or the workaround that turned into a dependency. Over time, that debt stacks up quietly.
Infinite Lambda describes legacy debt as something that “happens even to the best systems,” “silently accruing costs and constraints,” and it can “accumulate basically unnoticed until it is too costly to ignore.”
That is why a legacy debt audit isn’t a theoretical exercise. It is a visibility exercise to bring the oldest and highest-leverage risks back onto the list of things you actively manage.
The security problem shows up when “old” becomes “unpatchable”.
The UK’s NCSC guidance on obsolete products says, “Ideally, once out of date, technology should not be used,” and “the only fully effective way to mitigate this risk is to stop using the obsolete product.”
If something can’t be updated, weaknesses don’t age out. They sit there waiting for the wrong day.
Legacy debt also looks like basic server hygiene slipping.
NIST SP 800-123 frames secure server operations as an ongoing process: “Maintaining the secure configuration through application of appropriate patches and upgrades, security testing, monitoring of logs and backups…”
It also calls out foundational hardening steps like “Patch and upgrade the operating system” and “Remove or disable unnecessary services, applications and network protocols.”
When those basics become inconsistent, legacy debt turns into a reliability and incident-response problem instead of just a security one.
Legacy debt often hides at the edge. If you have end-of-support internet-facing devices, you have high-leverage risk in the most exposed place.
The 3 Oldest Risks to Find First
These three categories are where “old” most often turns into outsized risk because they combine age with leverage. They either sit at the front door, can’t be fixed anymore or have quietly drifted out of a safe baseline.
Risk #1: End-of-support edge devices
If you are looking for high-leverage legacy debt, start at the edge. Firewalls, VPN gateways, routers and other internet-facing devices are the front door to your environment.
When they reach end-of-support (EOS), they don’t just become outdated. They become harder to defend because security fixes stop arriving.
What to check in your audit
- List every edge device (firewall, VPN, router) and the support status for each one.
- Confirm which ones are internet-facing and which services are exposed.
- Identify devices that can’t run the current firmware or no longer receive updates.
Risk #2: Obsolete products that can’t be fixed anymore
Obsolete products are the purest form of legacy debt. They include things that are still operating but no longer receive security updates. That means every new vulnerability becomes permanent.
In other words, there is no clever workaround that makes an unsupported system “safe”. There are only risk reductions until you can replace it.
What to check in your audit:
- Identify anything past support: server OS versions, appliances, old hypervisors and line-of-business apps.
- Flag systems that require exceptions like the ones with old protocols, weak auth and special firewall rules.
- Find the “business-critical but unsupported” systems.
Risk #3: “It still works” servers with neglected basics
This is the sneakiest risk because it looks normal.
The server is supported. The hardware runs. Nobody is complaining. However, the basics have drifted. Patching is inconsistent, unnecessary services are still running and backups have not been proven under pressure.
SP 800-123 Guide to General Server Security frames secure server operations as an ongoing discipline including “patches and upgrades”, “monitoring of logs” and “backups.”
It also calls out core hardening steps like “Patch and upgrade the operating system” and “Remove or disable unnecessary services, applications and network protocols.”
Those are the unglamorous fundamentals that stop small problems from turning into long outages.
What to check in your audit:
- Patch reality: What is the current patch level and how often do updates slip?
- Service sprawl: What is running that doesn’t need to be running?
- Admin and service accounts: Where are the broad permissions and shared credentials?
- Backup confidence: When was the last restore test and did it succeed?
- Change control: Who can make changes and how are they tracked?
Stop Carrying Silent Risk
Legacy debt doesn’t announce itself. It sits quietly in the background until the day it becomes downtime, exposure or an emergency upgrade you didn’t plan for.
A legacy debt audit gives you control back by turning “we should deal with that someday” into a shortlist you can act on. Start with the highest-leverage risks like end-of-support edge devices, obsolete products that can’t be patched and servers where the basics have drifted. Then assign owners, set dates and move one item at a time from “too scary to touch” to “handled”.
Contact us for help running your next legacy debt audit.
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When you first sign up for a software-as-a-service (SaaS) platform, everything is designed to feel effortless.
The problem is that the first real test of a SaaS relationship isn’t the onboarding. It is the exit.
For many small businesses, the front door is wide open but the emergency exit is bolted shut. Exports are incomplete, key data sits in proprietary formats and leaving requires expensive vendor help.
That is more than inconvenient. It is a business risk.
As teams move toward a workforce blended with humans and Agentic AI in 2026, your advantage will come from data you can move, reuse and trust. If your data can’t leave a vendor cleanly, you don’t fully control your processes. Then your options, timelines and costs are controlled for you.
Why This Gets Worse in 2026
The “backup exit strategy” question is getting sharper in 2026 because SaaS sprawl and third-party dependence are now normal.
Your business data isn’t sitting in one system. It is spread across platforms, integrations, plug-ins and automation. When one vendor changes pricing, terms, features or risk profile, you don’t just “switch tools.” You either move your data cleanly or you stay stuck.
The breach environment also raises the stakes. Verizon’s 2025 DBIR Executive Summary says it analyzed 22,052 security incidents and 12,195 confirmed breaches and called it “the highest number of breaches ever analyzed in a single report” across 139 countries.
That volume matters because exits and migrations often happen under pressure. A backup exit strategy is what prevents “we need to move” from becoming “we can’t move.”
Attackers are also increasingly focused on credentials and data pathways. These are the same pathways you rely on during exports and migrations.
Microsoft’s Digital Defense Report 2025 notes that credential and access key theft attempts are up 23% and attempts to extract sensitive data from storage accounts and databases increased 58%.
Microsoft also reports that data collection showed up in 80% of reactive engagements which is a reminder that “getting the data” is now a common objective.
If you can’t export your data safely and predictably, you end up trapped. You can’t rotate away from a risky platform quickly and you can’t migrate without creating new exposure.
Being stuck is expensive even before you factor in vendor fees. IBM’s Cost of a Data Breach Report 2025 puts the global average cost of a breach at USD 4.4M.
That is not a “lock-in” statistic but it is a useful reality check. Data incidents cost real money. A clean exit strategy reduces the chance that a vendor becomes an added cost multiplier during an already expensive situation.
In 2026, the question isn’t whether you will ever need to move data. It is whether you will be able to do it without vendor hand-holding, surprise costs or emergency timelines.
The Financial Cost of the "Proprietary Trap"
A weak exit plan doesn’t just slow innovation. It quietly increases operating costs because you end up paying for a setup you can’t easily change.
When you are locked into a vendor, spending becomes sticky. You can’t right-size quickly, consolidate tools or move workloads to a better-fit platform without turning it into a major project.
That is how waste hangs around.
The real cost isn’t the monthly invoice. It is the lack of options. When your data can’t move easily, every renewal, pricing change or product shift becomes a forced decision instead of a strategic one.
A true backup exit strategy flips that dynamic. It gives you the ability to migrate on your timeline, reduce duplicate tooling and make cost decisions based on value rather than inertia. In practical terms, it turns “we can’t leave” into “we can compare, choose and move when it makes sense”.
Securing the Move
Once you decide to move your data, the migration itself becomes a high-risk moment. This is not because migrations are inherently unsafe but because they concentrate exactly what attackers want:
- High-privilege access
- Lots of open sessions
- A lot of data moving at once
During a data move, your team is often signed into multiple admin-level tools at the same time. That is where session cookie hijacking becomes relevant. An attacker doesn’t need to “crack” your password if they can steal the session token that proves you are already authenticated.
Microsoft has described adversary-in-the-middle phishing campaigns that intercept session cookies so attackers can reuse an authenticated session and bypass the MFA prompt.
Cloudflare also notes that attackers are finding ways to circumvent MFA as part of broader attack chains which is why the safest approach is layered rather than relying on one control.
To protect your backup exit migration:
- Use phishing-resistant sign-ins where possible for migration and admin accounts.
- Tighten session controls so privileged sessions expire sooner and re-authentication is required for risky actions.
- Treat device health as part of access. Run the migration from a managed, patched and protected device.
- Monitor for suspicious access during the move.
Ownership is a Discipline
The businesses that thrive over the next few years won’t just adopt new tools. They will stay flexible as tools change.
In a world of SaaS sprawl and AI-driven workflows, that flexibility comes from clean data, clear processes and the ability to move when you need to.
If you would like help building an exit-ready baseline across your vendor stack, contact us for a technology consultation.
A fake recruiter message is one of the cleanest social engineering tricks around because it doesn’t look like a trick.
That is why LinkedIn recruitment scams work so well inside real businesses.
They don’t arrive as malware. They arrive as a normal conversation that nudges someone toward one small action. Click this link, open this file, “verify” this detail and move the chat to a different app.
A few simple checks, a couple of hard-stop rules and an easy way to report suspicious outreach can shut these scams down without slowing anyone down.
LinkedIn Recruitment Scams
LinkedIn recruitment scams artfully blend into normal professional behavior.
The message doesn’t look like a “cyber attack.” It looks like networking and it borrows credibility from recognizable brands, polished profiles and familiar hiring language.
At platform scale, the volume is also hard to wrap your head around.
Rest of World reports that LinkedIn said it “identified and removed 80.6 million fake accounts” at registration from July to December 2024. A LinkedIn spokesperson claimed “over 99%” of the fake accounts they remove are detected proactively before anyone reports them.
Even with that level of detection, enough scam activity still leaks through to reach real employees. That is especially true when scammers tailor their approach to what looks credible in a specific industry and location.
The other reason these scams succeed is that they follow a predictable persuasion pattern: urgency, authority and a quick push to “do the next step.”
The FTC describes scammers impersonating well-known companies and then steering targets toward actions that create leverage. These actions include handing over sensitive personal information or sending money for “equipment” or other upfront costs.
Once someone is rushed into treating the process as real, the scam doesn’t need to be technically sophisticated. It just needs the victim to keep moving.
The Scam Pattern Most Teams Miss
1. A polished approach on LinkedIn
The profile looks credible enough, the role sounds plausible and the message is written in a professional tone. The job post itself may still be oddly generic though.
Amoria Bond notes that fake job postings often “lack details” and lean on broad language to catch as many people as possible.
2. A quick push off-platform
The conversation shifts to email, WhatsApp/Telegram or a “recruitment portal” link. That shift is important because it removes the built-in friction of LinkedIn’s environment and makes it easier to send links, files and instructions.
3. A credibility wrapper: “assessment”, “interview pack” or “onboarding”
Airswift flags link/attachment requests and urgency tactics as common red flags. The story is usually something like: “Download this assessment”, “Review these onboarding steps” or “Log in here to schedule.”
Tag Apps
Make decisions visible and repeatable by tagging apps.
Microsoft explicitly calls tagging apps as sanctioned or unsanctioned an important step because it lets you filter, track progress and drive consistent action over time.
4. The pivot: money, sensitive info or account takeover
Scammers impersonate well-known companies and then ask for things legitimate employers typically don’t: payment for “equipment” or early requests for personal information.
Another variation is more subtle: “verification” steps that are really designed to steal identity details or compromise accounts.
5. Pressure to keep moving
If someone hesitates, the scam leans on urgency: “limited slots”, “fast-track hiring” or “complete this today”. That is why Forbes frames the key skill as slowing down and checking details because the scam depends on momentum.
Red Flags Checklist for Staff
Here are the red flags to look out for.
Red flags in the job posting
- The role is oddly vague or overly broad. Generic responsibilities, unclear reporting lines and “we will share details later” language are common in fake listings.
- The company's presence doesn’t match the brand name. Thin company pages, inconsistent logos/branding or a web presence that feels incomplete are worth pausing on.
- The process is “too easy and too fast.” If the listing implies immediate hiring with minimal steps, treat it as suspicious.
Red flags in recruiter behavior
- They push you off LinkedIn quickly. Moving to WhatsApp/Telegram or personal email early is a common tactic.
- They use a personal email address or unusual contact details. Be specifically cautious of recruiters using free webmail accounts instead of a company domain.
- They avoid verification. If they dodge basic questions, treat that as a signal rather than a scheduling issue.
Hard-stop requests
- Any request for money or fees. Application fees, equipment purchases, “training costs”, gift cards or crypto is a hard stop.
- Requests for sensitive personal info early. Bank details, identity documents, tax forms or “background checks” before a real interview process is established.
- Requests for verification codes. If anyone asks you to read back a one-time code sent to your phone/email, assume they are trying to take over an account.
- Requests for non-public company information like org charts, internal system details, client lists, invoice processes and security tools. Look out for requisitions for anything beyond what a recruiter would reasonably need.
Stop Scams With Simple Defaults
LinkedIn recruitment scams don’t succeed because staff are careless. They succeed because the outreach looks normal, the process feels familiar and the next step is always framed as urgent.
The fix isn’t turning everyone into an investigator. It is setting simple defaults that make scams harder to complete. Slow down before clicking, verify the recruiter and role through official channels, keep conversations on-platform until identity checks out and treat money requests, code requests and early personal data demands as hard stops.
When those habits are standardized, the scam loses its leverage.
Reach out to us today to make sure you have the latest tools to fight this and other types of scams.