Types of Cheating in Remote Interviews

Discover the most common types of cheating in remote interviews like impersonation, AI tools, and chat assistance and learn how WeCP helps you detect and prevent every one of them.
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Everyone shows up to remote interviews. But not everyone plays fair.

Remote hiring has transformed the recruitment landscape empowering companies to hire faster, tap into global talent, and streamline operations. But this shift has also introduced a growing challenge: cheating in remote interviews.

From using ChatGPT during live calls to off-camera coaching, impersonation, and other deceptive tactics, candidates today have more tools than ever to manipulate virtual interview processes.

According to a survey, 11% of job seekers admit to cheating during video interviews, while 15% admit to cheating during phone interviews.

These numbers may seem modest, but they highlight a larger issue: interview fraud is real, underreported, and on the rise especially in remote-first hiring environments.

In this blog, we’ll explore the most common types of cheating in remote interviews, what makes them hard to detect, and what hiring teams need to watch out for to ensure integrity in their recruitment process.

Why Cheating in Remote Interviews is on the Rise?

Remote interviews are convenient but they lack the natural supervision of in-person interactions. With easy access to AI tools, multiple devices, and minimal oversight, cheating has become a tempting (and accessible) shortcut for candidates.

Key Drivers of Remote Interview Cheating:

  • Lack of real-time monitoring: Most tools don’t flag subtle behavior like off-camera coaching.
  • Generative AI tools: Candidates use ChatGPT, Gemini, or Claude to answer questions live.
  • Global hiring pressures: Speed often takes priority over security in distributed teams.
  • No standardized proctoring methods: Manual monitoring just can’t keep up.

Types of Cheating in Remote Interviews 

While remote interviews offer convenience and scalability, they also create blind spots for recruiters especially when it comes to verifying a candidate’s true abilities. Over the last few years, remote interview cheating has evolved from basic tricks to highly organized, technology-enabled fraud.

Let’s explore the most common types of cheating in remote interviews, how they happen, real-world examples, and subtle signs hiring teams should watch for.

1. Impersonation (Proxy Interviews)

This is one of the most severe forms of interview fraud where someone other than the actual applicant appears for the interview. These proxies are often paid professionals or highly skilled friends posing as the candidate.

How it happens:

  • The candidate shares their login credentials or interview link with a proxy.
  • The proxy attends the interview using matching clothes, lighting, and camera angles.
  • In extreme cases, deepfake tools or voice changers are used to simulate the applicant’s identity.

Example: A candidate applying for a senior software engineering role outsources both the screening call and the live coding round to a proxy. Once selected, the real candidate appears at onboarding and fails to meet even basic expectations.

Signs to look for:

  • Inconsistent responses between different rounds of interviews.
  • Hesitation when asked for personal experiences.
  • Lack of alignment between resume achievements and live answers.

WeCP’s Sherlock AI uses facial recognition and frame-by-frame identity checks to spot proxies or imposters with pinpoint accuracy.

👉 Want to know how the Sherlock AI-powered proctoring agent works? Watch this

2. Real-Time Coaching or Off-Camera Assistance

In this method, candidates receive help during the interview from another person who’s physically present but off-camera or remotely connected.

How it happens:

  • A friend, coach, or hired expert sits nearby and whispers answers.
  • Some candidates wear Bluetooth earpieces or use chat windows to receive messages mid-interview.
  • Others use collaborative tools like Google Docs where an accomplice types answers in real time.

Example: During a behavioral round, a candidate keeps pausing before answering, frequently shifting eye direction as if reading or listening to cues. Their tone feels rehearsed, and answers are unnaturally structured.

Signs to look for:

  • Repetitive eye movement toward one direction.
  • Audio delays or faint background whispers.
  • Mechanical or overly scripted responses.

WeCP's audio proctoring detects background voices, prompting alerts for murmuring or coaching. Combined with live video monitoring, session recording, and real-time candidate status tracking, suspicious activity can be reviewed and escalated instantly.

3. Use of Generative AI (e.g., ChatGPT)

Candidates use AI tools like ChatGPT, Bard, or Claude to generate answers to technical, coding, or situational questions in real time.

How it happens:

  • During live assessments, candidates copy-paste questions into ChatGPT in a separate browser tab.
  • In behavioral interviews, they quietly generate responses using AI-powered extensions like Merlin or Compose AI.
  • Some use AI for on-the-fly code completion during IDE-based interviews.

Example: A candidate performs exceptionally well in a coding round but fails to explain their own logic when asked follow-up questions. Their solutions are syntactically perfect but lack a deeper understanding.

Signs to look for:

  • Overly polished or generic responses.
  • Frequent switching between tabs (if monitored).
  • Disconnect between performance and explanation.

WeCP can prevent candidates from using ChatGPT or similar tools mid-assessment through strict browser lockdown, if enabled by recruiters. It disables tab switching, copy-paste, and right-click actions, effectively blocking access to AI tools during technical or behavioral assessments. The system also monitors for abnormal typing behavior that may indicate AI-generated responses.

👉 Also Read: How to Prevent Cheating with AI During the Hiring Process?

4. Screen Sharing & Remote Control Tools

This involves candidates getting real-time help via screen sharing apps (Zoom, Microsoft Teams, Google Meet) or remote control tools like TeamViewer, AnyDesk, or Chrome Remote Desktop.

How it happens:

  • The candidate shares their screen with an accomplice who either navigates for them or provides step-by-step solutions.
  • Sometimes, a remote person controls the screen entirely while the candidate pretends to work.

Example: During a technical evaluation, the candidate completes tasks unusually quickly, with cursor movement that seems unnatural or overly smooth often a sign of remote control software.

Signs to look for:

  • Unnatural mouse/cursor activity.
  • Sudden jumps in performance mid-task.
  • Delayed typing or misaligned webcam reactions.

Sherlock AI by WeCP continuously monitors for unauthorized applications, screen-sharing tools, and remote control software, stopping collusion in its tracks.

5. Pre-Recorded or Staged Responses

Candidates use pre-recorded videos or scripted responses to simulate live participation in asynchronous or even live interviews.

How it happens:

  • In one-way video interviews, the candidate uploads pre-recorded responses that are edited or perfected.
  • In extreme cases, candidates loop a video of themselves nodding or listening while another person answers off-camera.

Example: A recruiter receives a video where the candidate’s eye contact, lip-sync, and response tone feel overly rehearsed or don’t quite align with the timing of questions.

Signs to look for:

  • Audio-video sync issues.
  • Robotic, emotionless tone.
  • No improvisation or deviation in answers.

WeCP validates AV sync in real-time to detect lags or loops, while facial microexpression tracking flags passive or repetitive behavior. Background video consistency and audio waveform integrity checks help confirm the interview is live and unscripted.

6. Device Switching and Tab Hopping

Candidates use multiple screens, devices, or browser tabs to look up answers in real-time during the interview or assessment.

How it happens:

  • They join the interview from a laptop and search answers on a nearby phone or tablet.
  • During live coding rounds, they switch between IDEs, browser tabs, and AI-powered tools.

Example: A candidate often looks away from the webcam while answering. There are unusual delays before responses or suspicious clicking sounds while they "think."

Signs to look for:

  • Frequent changes in screen focus (if monitored).
  • Eye movement to the same direction repeatedly.
  • Sudden bursts of typing followed by complete silence.

Device fingerprinting blocks access from secondary devices, and focus-loss alerts notify admins when candidates exit fullscreen. Combined with IP tracking and secure encrypted sessions, WeCP ensures single-device, uninterrupted assessment conditions.

7. Lip-Syncing with a Voiceover

The candidate appears on camera, but the voice you hear is someone else’s either speaking live or pre-recorded.

How it happens:

  • The real candidate mouths the words while someone more fluent or qualified speaks.
  • Some use audio delay software or video overlay tools to align mouth movement and external audio.

Signs to look for:

  • Slight mismatch in lip-sync.
  • The candidate avoids responding to spontaneous questions.
  • Uneven background audio quality.

AV monitoring tools detect lip-audio mismatch and robotic speech modulation. WeCP uses voice pattern analysis alongside random spontaneous prompts to force authentic, real-time candidate speech, exposing pre-recorded voiceovers.

8. Background Manipulation (Fake Environment)

The candidate sets up a fake background to hide the presence of others, scripts, or suspicious activity.

How it happens:

  • Use of static Zoom/Teams backgrounds or fake office settings.
  • Physical setups that hide whisperers, devices, or cue cards.

Signs to look for:

  • Blurred edges around the candidate.
  • No ambient movement, light shifts, or natural shadows.
  • Echoes or strange audio delays indicating a hidden second voice.

WeCP’s Solution: Visual background tracking, enabled by 10-second auto-capture, checks for sudden changes or static green screens. Shadow and lighting anomalies are flagged to detect fake virtual setups, ensuring environmental consistency.

9. Answer Banks and Pre-Leaked Questions

Candidates prepare responses in advance using leaked or publicly shared question banks from previous interviews with the same company.

How it happens:

  • Reddit, Glassdoor, Discord, and Telegram channels are used to crowdsource exact questions.
  • Some candidates memorize company-specific technical rounds or behavioral prompts.

Signs to look for:

  • Over-prepared answers with keyword stuffing.
  • No follow-up explanation or context.
  • Unusual comfort with niche or company-specific questions.

WeCP’s Solution: Randomized question shuffling, large question pools, and auto-generation using AI ensure no two tests are alike. Suspected canned responses are flagged by essay/video AI evaluators and matched against behavioral markers and response speed.

👉 Also Read: 10 Ways to Prevent Students from Cheating with AI

10. Dual Interviewing (Split Interview Strategy)

A subtle but deceptive method where a candidate splits responsibilities with someone else across multiple interview rounds each person attending different stages of the process.

How it happens:

  • In early technical rounds, a highly skilled friend or paid expert appears.
  • In soft-skill or managerial rounds, the real candidate takes over, pretending they handled earlier stages.
  • Some even use fake email IDs or slightly altered names to avoid detection.

Example: A candidate clears an advanced coding round with impressive speed and precision. However, in the final HR or stakeholder round, they struggle to answer basic questions about the project they supposedly completed in the previous interview.

Why it’s dangerous: This tactic can bypass end-to-end skill vetting and trick recruiters into hiring someone who only partially meets role requirements.

Signs to look for:

  • Performance drop-off in later rounds.
  • Inconsistent storytelling or project references.
  • Differing speaking styles or accents across sessions.

WeCP’s Solution: Interview continuity verification includes voice print, face tracking, and cadence monitoring. Candidates are asked to re-verify identity at random checkpoints, and WeCP compares answer consistency and response latency across stages.

11. Voice Prompt Software or Speech Synthesis Tools

Candidates use AI-based voice tools to modify their speech or accent to sound more fluent, confident, or professional.

How it happens:

  • Use of tools like Respeecher, Voice.ai, or Descript Overdub to real-time modify tone or language delivery.
  • Especially used when candidates aren’t fluent in the expected language or want to sound more authoritative.

Signs to watch for:

  • Unnatural intonation or robotic delivery.
  • Audio that sounds "filtered" or lacks ambient noise.
  • Inconsistent speech patterns between rounds.

Risk: May mislead recruiters about communication skills and culture fit.

WeCP uses audio waveform analysis and voice biometrics to detect voice modulations and AI-generated tones. Robotic intonation, lack of inflection, and mismatched pitch raise red flags, triggering manual review and session recording access.

12. Collaborative Answering via Smart Glasses or AR Devices

Highly sophisticated fraud in which candidates wear smart glasses or AR-enabled devices to receive visual answers or prompts.

How it happens:

  • Text is streamed live into smart glasses (like Google Glass or Vuzix) during assessments.
  • An accomplice monitors the interview and feeds real-time cues via AR overlay.

Signs to watch for:

  • Eye movement patterns that resemble reading invisible text.
  • Candidate avoids sudden head movements or wears unusual eyewear.
  • Quick, perfectly worded responses with no thinking pause.

Risk: Very hard to detect with standard webcam setups. Gaining popularity in high-stakes international hiring.

13. AI-Generated Video Avatars or Digital Doubles

Candidates create deepfake-style avatars that respond in real time, mimicking facial expressions and gestures.

How it happens:

  • Use of tools like Synthesia, Hour One, or D-ID to create a realistic animated version of themselves.
  • The avatar attends one-way video interviews or even live interviews with audio input from the candidate or a third party.

Signs to watch for:

  • Slight “lag” in facial expressions.
  • Lack of blinking, breathing, or head movement.
  • Weird lighting or edge artifacts around the face.

Risk: This could become the next wave of impersonation fraud, especially in pre-recorded rounds.

WeCP’s liveness detection scans for blinking patterns, facial micro-movements, and pixel anomalies. These checks verify that the video feed is from a live human and not an avatar or deepfake filter, ensuring facial authenticity.

14. Manipulated Network Lag or “Convenient Disconnection”

A social engineering tactic where the candidate intentionally drops the call or blames technical issues to avoid difficult questions or buy time.

How it happens:

  • The candidate pretends their camera or mic “isn’t working.”
  • They simulate lag to avoid real-time interaction or to discreetly consult someone off-screen.

Signs to watch for:

  • Selective lag only when complex questions are asked.
  • Convenient “tech issues” near deadlines.
  • Overuse of excuses like “poor internet” without follow-up attempts to fix.

Risk: It can break interview flow and compromise assessment integrity.

WeCP’s Solution:

All camera and mic toggles, disconnections, and network drops are logged. WeCP analyzes disruption timing and flags repeated interruptions during hard questions. Reentry behavior is compared using behavioral markers and question resumption audits.

15. AI-Enhanced Facial Manipulation (Live Deepfake Filters)

Candidates use real-time AI filters (like Snapchat’s or Zoom plugins) to alter their facial appearance such as age, gender, or facial structure to match ID photos or resumes.

How it happens:

  • Candidates apply subtle face filters in Zoom or browser-based tools to look like someone else.
  • Filters are used to pass identity verification in early rounds.

Signs to watch for:

  • Glitches around facial edges during movement.
  • Flickering or morphing when turning head.
  • Inconsistent facial features across sessions.

Risk: Especially dangerous for roles requiring background checks or identity-sensitive tasks.

WeCP Solution:

WeCP’s Sherlock, the AI-powered test integrity agent, detects real-time facial inconsistencies caused by filters or deepfake overlays. It analyzes frame-by-frame facial movements and flags identity mismatches that occur across sessions ensuring the person on camera is truly who they claim to be.

The Cost of Cheating in Remote Hiring

Cheating doesn’t just affect fairness it hits companies where it hurts: time, money, and trust.

  • Bad hires cost companies over $15,000 per employee in lost productivity, team disruption, and rehiring efforts.
  • Trust in remote hiring is eroding. HR leaders are increasingly concerned about the integrity of virtual assessments.
  • Delays in hiring pipelines happen when post-hire issues, poor performance, or failed background checks force restarts.

How WeCP Prevents Cheating in Remote Interviews?

WeCP is built to secure every stage of remote interviews with AI-powered monitoring, candidate authentication, and real-time cheating detection ensuring fair, fraud-free hiring without friction.

AI-Powered Proctoring

  • Facial recognition + eye movement tracking
  • Microphone analysis to detect background voices
  • AI-generated flags for impersonation or collusion

Browser Lockdown & Behavior Monitoring

  • Disables tab switching, copy-paste, right-clicks
  • Detects typing speed irregularities
  • Tracks clipboard activity and suspicious patterns

Candidate Authentication

  • Pre-test photo ID verification
  • Live webcam snapshots during the session
  • Dual-stage identity checks to prevent impersonation

Audit Logs + Replay Mode

  • Full-screen and webcam recordings
  • Timestamped logs with AI-generated cheat flags
  • Review tools for compliance and internal audit trails

Final Thoughts: Secure Remote Interviews Are Possible

Remote hiring is here to stay but so is the risk of cheating. From ChatGPT-written answers to full-blown proxy candidates, today’s fraud tactics are more advanced than ever.

But that doesn’t mean you’re powerless.

WeCP empowers hiring teams to stay ahead of the curve with built-in cheating prevention at every stage of the hiring process. From AI-enabled proctoring to identity verification and smart test monitoring, WeCP gives you the tools to ensure every candidate is the one they say they are.

👉 Want to see it in action? Schedule a Free Demo

Let your hiring be driven by skill, not shortcuts. Let WeCP be your partner in secure, scalable, and smart hiring.

Abhishek Kaushik
Co-Founder & CEO @WeCP

Building an AI assistant to create interview assessments, questions, exams, quiz, challenges, and conduct them online in few prompts

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