What is the most common way candidates cheat in online assessments?

According to a HirePro analysis of hiring assessments on its platform, the most common form is simply having someone sit with the test taker or give verbal help. Impersonation and hiding from the camera or leaving the test window to consult material come next. Screen sharing or mirroring, testing in low light and sharing photos of questions were among the least common. This reflects one vendor's data, so treat the ranking as indicative rather than universal.

Are AI tools like ChatGPT treated as cheating in online assessments?

Unless the assessment instructions explicitly allow them, yes. Proctoring vendors describe AI chatbots and AI solver tools as a growing category of cheating, and platforms respond with tab and full-screen monitoring, screen recording, plagiarism detection for code, and behaviour analysis. Always read the rules on the specific assessment page, because some tests do permit certain resources and most do not.

How do online assessments detect cheating?

Most platforms layer several checks: identity verification, webcam and microphone monitoring, tab-switch and full-screen detection, screen recording, IP and location tracking, plagiarism detection and post-test review of recordings and logs. Unstop's own proctoring pages describe this kind of stack, including face verification, multiple-face and background-noise alerts, and audit logs. Flags are usually reviewed by a person before any decision is made.

What happens if a candidate is caught cheating in an online assessment?

It depends on the organiser or employer, but typical outcomes include disqualification from that assessment or hiring round, a rejected application, and a note against the candidate's record with that recruiter. Where impersonation is involved, consequences can be more serious. Because policies vary by company and platform, the safest assumption is that a confirmed violation can end your candidacy.

Can honest candidates get flagged by proctoring software?

Yes. Automated systems can misread a family member walking in, a notification stealing focus, a dropped connection or poor lighting. Vendors themselves acknowledge false positives, which is why flags should be reviewed against the recording rather than treated as proof. Test in a quiet, well-lit room, close other apps, do the camera check beforehand, and report any interruption to the organiser in writing straight away.

How Candidates Cheat in Online Assessments: 20 Methods and How They Get Caught

Cheating in online assessments is more common than most candidates assume, and more detectable than most cheaters assume. Recruiters and proctoring vendors have catalogued the same patterns for years. This post lists 20 methods in plain terms, explains what each looks like from the proctor's side, and ends with why the whole exercise is a poor trade.

This is an awareness guide, not a manual. We describe what gets flagged, not how any of it is done.

Why this list exists

Online tests now sit at the front of campus hiring, internships and hackathon qualifiers. When some candidates game them, honest candidates lose places and organisers add stricter checks for everyone. Knowing what proctoring looks for helps honest candidates avoid false flags, and helps anyone tempted to take a shortcut see what they would be up against.

A HirePro study of assessments on its platform found that the most common cheating form was someone physically present giving verbal help, followed by impersonation and candidates hiding from the camera or leaving the window to consult material. Screen sharing, low-light testing and sharing photos of questions were among the least common. That is one vendor's data, but it shows that the unglamorous methods dominate, not clever technical ones.

The 20 methods

People helping

A helper in the room. Someone sits nearby and whispers or signals answers. Flagged by multiple-face detection, background voices and noise alerts, and unusual gaze patterns.
Impersonation. A different person sits the test. Flagged by identity verification and repeated face re-checks during the session.
A hired proxy or expert. Candidates pay someone else to take or assist with the test. Vendors report organised proxy services operating through messaging groups. Flagged by identity checks and mismatches in device, location or behaviour.
Remote helper over a call. A friend watches a shared screen and answers in real time. Flagged by screen recording, audio monitoring and unusual response timing.
Group chats during the test. Questions are pasted to a chat and answers come back. Flagged by tab switching, focus loss and typing pattern review.

Devices and setups

A second device off camera. A phone or tablet sits outside the frame. Flagged by gaze tracking, unauthorised-device detection and snapshots.
Hidden devices. Concealed gadgets or wearables used to receive help. Flagged by environment checks, gaze and audio review.
Dual monitors. A second screen holds answers. Proctoring tools commonly detect extra displays at the start of the test.
Remote-controlled machines. The test machine is operated by someone elsewhere. Flagged by identity, IP and geo-location mismatches.
Virtual machines. An environment used to run something alongside the test. Some secure browsers are built to detect VM environments and refuse to start.
Screen mirroring or casting. The screen is copied to another place. Flagged by screen recording and screen-share interruption checks.

Software and AI

AI chatbots. Questions are pasted into ChatGPT-style tools. Flagged by tab switching, full-screen exits and screen recording.
AI-generated code. Submissions look machine-written. Flagged by plagiarism and pattern analysis, including suspicious code resets and answer bursts.
Overlay and AI assistant apps. Tools that sit over the test window and surface answers. Flagged through screen recording, behaviour on camera and system checks, since the recording captures what the reviewer later watches.
Copy-paste and clipboard use. Saved snippets pasted in. Flagged by copy-paste restrictions and typing analysis.
Searching the web. Opening a browser tab to look things up. Flagged by tab-switch and full-screen detection.
Screen capture and recording tools. Questions are captured to share or reuse. Flagged by screen-capture checks and browser restrictions.

Material and behaviour

Notes and cheat sheets. Paper or sticky notes around the screen. Flagged by gaze tracking, snapshots and room scans.
Leaving the frame. Stepping away or ducking out of view to consult something. Flagged by face-out-of-view alerts and webcam snapshots.
Sharing questions with later batches. Early test-takers pass on questions. Flagged by question-bank rotation, leak monitoring and unusual score patterns.

How proctoring ties these together

Unstop's own pages describe identity checks such as OTP verification and face registration, continuous video and audio monitoring, full-screen and tab-switch detection, screen recording, IP and geo-location tracking, and video audit logs for review. Other platforms describe similar toolkits, including webcam, screen and full-screen proctoring, IP checks and plagiarism models.

The important point is the layering. A shortcut that avoids one check usually collides with another, and the recording remains for human review after the test ends.

Why it is not worth it

The downside is large. A confirmed violation can end your application or disqualify you from a competition.
The upside is borrowed. A score you did not earn is followed by interviews and technical rounds where the gap shows.
Flags travel. Recruiters keep records, and cheating in a campus drive can follow you.
It is unfair to others. Every cheated seat is an honest candidate pushed down.

If you are an honest candidate worried about false flags

Take the test alone in a quiet, well-lit room. Close every other app and tab. Do the camera and microphone check early, keep your face centred and stay in full-screen mode. If something outside your control interrupts you, write to the organiser straight away with details.

For real preparation, see how to win a hackathon, hackathon platforms compared and how to get your first internship in college.