RESOURCES / THE EVOLUTION BLOG
Airline Fraud: The Rise of Social Engineering Attacks
Natalie Lewkowicz
Sr Marketing Manager
Social Engineering and Account Hijacking in Airlines: When Fraud Targets People, Not Systems
Not every attack starts with a bot.
Some start with a message.
A text offering bonus points.
An urgent alert about suspicious activity.
A friendly voice claiming to be from the fraud team.
The goal isn’t to break into your systems.
It’s to convince someone to open the door.
This is social engineering and in the airline industry, it’s becoming one of the most effective ways to enable account hijacking and loyalty fraud.
Because when attackers gain the trust of a customer, they don’t need to bypass security.
The user lets them in.
Social engineering is a tactic where attackers manipulate individuals into revealing sensitive information, such as:
- Login credentials
- One-time passcodes (OTPs)
- Personal data
In airlines, this often takes the form of:
- Smishing (SMS phishing) with fake promotions
- Email phishing campaigns targeting loyalty members
- Impersonation of airline staff or fraud teams
The result?
Attackers gain access to accounts via the account holder themselves, without triggering traditional security controls.
Social engineering provides the missing link to account takeover attacks, and is often a shortcut to loyalty fraud. Here’s how a typical attack unfolds:
Step 1: The Hook
The attacker sends a message:
- “Unlock your bonus miles now”
- “Your account is at risk, verify immediately”
- “Exclusive upgrade offer. Limited time”
The message creates urgency or excitement.
Step 2: The Capture
The victim is directed to:
- A text message / email / telephone exchange
- A fake login page
- A phishing site
- A malicious form
They enter or reveal:
- Username and password
- OTP or verification code
Step 3: Real-Time Exploitation
In many cases, attackers act instantly:
- Logging into the real account
- Using the captured credentials, completing authentication
Step 4: Account Hijacking
Once inside, they:
- Change the email address
- Update contact details
- Reset credentials
The legitimate user is locked out.
Step 5: Value Extraction
Finally, attackers:
- Redeem loyalty points
- Transfer rewards
- Book travel
The entire sequence can happen in minutes.
Unlike technical attacks, social engineering exploits human behavior.
It Bypasses Traditional Security
- Credentials are phished from an unwitting victim
- OTPs are shared directly under the guise of account protection
- Authentication is passed because the correct user credentials are being used
It Leverages Trust
Attackers impersonate:
- Airlines
- Customer support
- Fraud teams
People trust brands, and attackers exploit that trust.
It Creates Urgency
Messages are designed to trigger immediate action:
- Fear (“Your account is compromised”)
- Opportunity (“Limited-time reward”)
This reduces critical thinking.
It Blends With Legitimate Activity
Once credentials are used:
- Logins appear normal
- Sessions look valid
- No obvious red flags exist on the surface
The Hijacking Moment: Where Fraud Becomes Locked In
The most critical point in this attack is not the login.
It’s what happens next.
After gaining access, fraudsters often:
- Change the email address
- Update phone numbers
- Modify account settings
This is the account hijacking moment.
It achieves two things:
- Locks out the legitimate user
- Secures control for the attacker
And yet, many systems treat these actions as routine updates.
In reality, they are among the strongest indicators of fraud.
Airlines often rely on:
- Passwords
- Multi-factor authentication (MFA)
- OTP verification
But social engineering turns these defenses against themselves.
MFA Becomes a Weak Point
Attackers simply:
- Ask for the OTP under the guise of protecting the user’s account
- Trick users into sharing it
Login-Based Detection Falls Short
Because:
- Credentials are correct
- Authentication succeeds
The system sees a legitimate user.
No Visibility Post-Login
Once inside, many systems:
- Stop monitoring behavior
- Assume trust
But fraud is just beginning.
Social Engineering Is a Behavior Problem
The key to detecting these attacks isn’t verifying identity.
It’s understanding behavior and intent.
Even when attackers log in successfully, their behavior can often alert airlines to suspicious activity via:
- Unusual journey patterns
- Faster navigation
- Unusual behavioral biometrics patterns
- Deviations from normal user behavior
- Different device, network and location signatures
These signals reveal what credentials cannot:
Intent.
What Effective Protection Looks Like
To stop social engineering-driven fraud, airlines need to go beyond authentication to understand the behavior and intent of every interaction.
1. Journey-Level Visibility
Connect behavioral signals across:
- Login
- Profile changes
- Rewards Collection
- Redemption
Because fraud doesn’t happen in isolation.
2. Continuous Behavioral Monitoring
Track how users interact:
- Across channels and digital journeys
- Understand changes in journey sequences, timings, navigation patterns and shortcuts
- Compare behavioral biometrics data across sessions
3. Detect High-Risk Actions
Flag:
- Email changes
- Credential updates
- Unusual account modifications
4. Contextual Risk Analysis
Evaluate:
- Device consistency
- Location changes
- Network anomalies
5. Real-Time Intervention
Respond instantly before rewards are redeemed or transferred with:
- Step-up authentication
- Blocks for suspicious actions
- Real-time alerts for fraud teams
How Leading Airlines Are Adapting
Airlines responding effectively to social engineering are:
- Monitoring behavior beyond login
- Treating account changes as high-risk events
- Detecting anomalies in real time
- Reducing reliance on static authentication
This allows them to:
- Prevent account hijacking
- Protect loyalty balances
- Improve customer trust
Darwinium is designed to detect fraud even when attackers use valid credentials.
Key Capabilities:
Behavioral Biometrics
Identify subtle differences in:
- Journey behaviors
- Typing cadence
- Mouse and touch behavior
- Interaction patterns
Detect when a “logged-in user” isn’t the real customer.
Device Intelligence
Recognize:
- New or inconsistent devices
- Suspicious device changes
Even when credentials are correct.
Network & Location Analysis
Spot:
- Proxy usage
- Location anomalies
- Inconsistent connection data
High-Risk Action Monitoring
Flag critical events like:
- Email address changes
- Profile updates
- Credential resets
In real time.
Journey Analytics
Connect activity across:
- Login
- Account changes
- Redemption
Revealing the full attack pattern.
Edge-Based Decisioning
By operating at the edge, Darwinium:
- Sees the full customer journey, from authentication to redemption, removing siloes and blind spots
- Applies instant risk-based decisions
- Stops attacks mid-session
From Trust to Verification
Social engineering works because it exploits trust.
Legacy fraud prevention requires a shift:
From:
- Trusting credentials
To:
- Verifying behavior and intent
Because even when users authenticate successfully, their behavior tells the real story.
Conclusion: Securing the Human Layer of Fraud
As fraud evolves, the line between user and attacker is becoming harder to distinguish.
Social engineering blurs that line completely.
Stopping it requires:
- Continuous monitoring
- Behavioral intelligence
- Real-time decisioning
Because in today’s airline fraud landscape, security isn’t just about protecting systems.
It’s about protecting people.
Stop account hijacking, even when attackers use real credentials
Book a demo