Jollier
Professional
- Messages
- 1,282
- Reaction score
- 1,351
- Points
- 113
Listen carefully, I'm going to explain to you how anti-fraud systems try to catch carders and how you can outsmart them. These things monitor your every step, but with the right approach, you can really fool them. I'll give each system a score from 1 to 10 - the higher the score, the harder it is to bypass. Grab a coffee and get to it, I won't repeat myself!
1. Forter - Paranoid Security Guard (7/10)
What is it?
Forter is a leader in e-commerce with a market share of 3.8%. Like a bouncer in an expensive club, it checks everything: IP, device, clicks, card insertion speed. Their AI is fast, it learns from every order. If they miss fraud, they pay themselves, so they are angry.
Where is it found?
Luxury brands, large online stores, marketplaces.
How does it work?
Collects data: browser, geolocation, behavior on the site.
Assigns a risk score to the transaction. If suspicious, requires code or blocks.
Remembers patterns, repeating the same thing is a dead end.
How to bypass?
Imitate behavior: Clean device, residential IP (not a data center). Enter data slowly, as if you are on the site for the first time.
Change your approach: Forter learns quickly, one mistake - and your tricks are in their database.
Best drops: We have the best drops (join JET SHip)
Where to get burned?
AI exposes little things, like input speed or your sock. The difficulty of bypassing is high, transaction approval is rare. Small orders slip through
Forter vs anti-detections
Forter has deep fingerprinting (Canvas, WebGL, fonts, WebRTC). If anti-detection replaces the OS (for example, Windows instead of macOS), fonts or rendering reveal a jamb
2. Sift - Network spy (6/10)
What is it?
Sift is a global detective with a database, works in fintech, retail, tourism. Their AI analyzes behavior: how you move the mouse, what you did on the site yesterday. Less popular than Forter, but still dangerous.
Where is it found?
Payment systems, booking sites, digital platforms.
How does it work?
Checks the device, IP, clicks, history.
Gives a "fraud score". High - ban or two-factor.
The global database is shared between shops.
How to bypass?
Complete purity: New cookies, sessions, residential proxies.
Behavior: Move the mouse chaotically, scroll the site, pause.
Diversity: One puncture, and your schemes are in their network.
Anti-detect: Set up WebRTC and headers to avoid leaks.
Where to get burned?
Got caught in one shop - others will find out. Behavioral analysis catches robots. The complexity is high, but in niches like tourism, the settings are weaker.
Sift vs antidetects
It detects via HTTP headers, plugins, and WebRTC. If the proxy leaks or the anti-detect does not mask the browser metadata, the system senses a catch. Robotic behavior (fast clicks, no scrolling) is a red flag.
3. Signifyd — Chargeback Guardian (4/10)
What is it?
Signifyd is a top e-commerce company, integrated with Shopify, BigCommerce, Magento. It guarantees shops protection from chargebacks, increasing transaction approval by 5-9%. Their AI monitors behavior and tracking.
Where is it found?
Marketplaces, stores with physical goods.
How does it work?
Checks the address, delivery tracking, history, IP.
AI decides whether to allow or block. If ok, the shop sends the goods.
Remembers reroot attempts.
How to get around it?
The long game: Order small items, pay, wait for delivery, then go for the big ones.
Clean setup: New device, residential IP, no traces.
Tracking spoofing: Fake delivery details to make the package "lost".
Where to get burned?
AVS (address verification) and behavioral analysis can fail. The complexity is average, but the chance of approval is high due to the shop's guarantees.
Signifyd vs Antidetects
Antidetects are easier to pass if the proxy is local
4. Riskified - Vigilant shopper (6/10)
What is it?
Riskified is an analogue of Forter, focuses on e-commerce. Protects against chargebacks, analyzes everything. Less aggressive, but still harsh.
Where is it found?
Fashion stores, electronics.
How does it work?
Looks at the device, IP, behavior, history.
Assigns a risk score. If it stinks of fraud, blocks.
Learns from each order.
How to get around it?
Slow approach: Scroll through the site, add to cart, take breaks.
Microtransactions: Enter small change for trust, then large.
Best drops: We have the best drops (join JET SHip)
Clean: Clean device or new Antika session, resident IP.
Antidetect: Use a resident IP and check the fonts
Where to get burned?
Their base connects shops The complexity is high, the chance of approval is average.
Riskified vs Atidetects
Riskified checks the fingerprint (Canvas, fonts) and behavior. Antidetects are detected if the OS substitution produces discrepancies (for example, Windows fonts on macOS) or the IP is not from the map region.
5. ClearSale - Analysts on guard (5/10)
What is it?
ClearSale is a hybrid of AI and manual verification, popular in Latin America. Robots scan, and analysts get to the bottom of the details.
Where is it found?
Brazilian retailers, international shops.
How does it work?
AI checks IP, device, card, address.
Suspicious ones are sent for manual check.
Analysts dig deep, old schemes don't work.
How to get around it?
Imitation: Log in with your home IP, browse the site, behave naturally.
Diversity: Don't repeat the schemes, analysts notice.
Anti-detection: Simple anti-detections work if the behavior is natural.
Small orders: Enter a little at a time to avoid verification.
Where to get burned?
Analysts are a problem. Medium complexity, average chance of approval.
6. DataVisor — Anomaly Detective (6.5/10)
What is it?
DataVisor is a brainy AI, works in fintech and banks. Uses unsupervised learning, catches anomalies, even new schemes.
Where is it found?
Banks, credit platforms.
How does it work?
Analyzes transactions, IP, devices, behavior.
Looks for oddities, but doesn't follow the rules.
Mass fraud is spotted instantly.
How to get around it?
Single schemes: Don't spam, work carefully.
Cleanliness: New device, new IP.
Naturalness: Do everything slowly, like a regular user.
Anti-detect: Avoid unique fingerprints, imitate standard parameters.
Where to get burned?
DataVisor remembers the style, mass schemes are a red flag. High complexity, low chance of approval.
DataVisor vs Anti-detects
catches through unnatural combinations of parameters (for example, a rare version of the browser with the OS). If Canvas or WebGL are too "perfect", this is an anomaly.
7. Fraud.net - Customizable trap (3.5/10)
What is it?
Fraud.net is a modular system, shops customize it for themselves. Catches click fraud, carding, works in games and fintech.
Where is it found?
Gaming platforms, small fintech.
How does it work?
Collects IP, device, clicks, transactions.
AI and shop rules decide whether you are a fraudster or not.
Provides analytics for shops.
How to bypass?
Study the shop: Try small orders to find weak spots.
Purity: clean IP
Naturalness: Scroll through the site, add to cart, take breaks
Anti-detections pass if the shop settings are weak. Difficulty is average, the chance of approval depends on the shop.
Best drops: We have the best drops (join JET SHip).
Where to get burned?
Shops adjust the system to your tricks. Difficulty is average, the chance of approval depends on the settings.
Fraud.net vs Anti-detections
Fraud.net checks fingerprint and behavior, but depends on the shop settings. Cheap anti-detections are detected by weak proxies or unnatural clicks.
8. Vesta — Payment filter (4.5/10)
What is it?
Vesta is a payment specialist, catches fake card entries and subscription scams.
Where can it be found?
Telecom, subscriptions, payment gateways.
How does it work?
Checks the card, IP, device, history.
AI blocks suspicious items.
Compares with past transactions.
How to bypass?
Clean: New device, home IP,
Small change: Enter small amounts.
Anti-detect: Set up proxies and headers.
Where to get burned?
A new card with no history is a red flag. Average complexity, average chance of approval.
Vesta vs anti-detects?
Vesta focuses on the card history, but checks the IP and device. Anti-detects are detected if the proxy is not from the card region or the browser headers indicate a substitution.
9. Nethone — Click Tracking (5/10)
What is it?
Nethone is a master of behavioral analysis, monitors clicks, scrolling, mouse movement. Catches bots in shops and fintech.
Where is it found?
Ticket platforms, European stores.
How does it work?
Creates a behavioral profile: IP, device, clicks.
Tracks geolocation.
How to bypass?
Imitation: Move the mouse randomly, scroll the site, pause.
Clean: Clean browser, residential IP.
Local proxies: Proxy from the country of the map.
Anti-detect: Use top solutions, customize the behavior.
Where to get burned?
Robotic behavior is detected in a second. Complexity is medium-high, the chance of approval is average.
Nethone vs anti-detects?
It detects through behavior: smooth mouse movements, fast input, no scrolling. Checks Canvas and Audio for substitution.
10. FUGU - Daring Newbie (3.5/10)
What is it?
FUGU is a young player in fintech and shops, quickly analyzes transactions. A smaller database gives a chance.
Where is it found?
Fintech startups, small shops.
How does it work?
Checks the card, IP, device, behavior.
AI provides a risk assessment, blocks or requires verification.
Learns from each order.
How to bypass?
Purity: New device, anti-detect browser.
Naturalness: Scroll through the site, add to cart.
Best drops: We have the best drops (join JET SHip)
Anti-detections pass if the proxy is high-quality
Where to get burned?
FUGU The complexity is average, the chance of approval is good.
FUGU vs anti-detections
FUGU checks the basic fingerprint and behavior. Cheap anti-detections are detected by weak proxies or mechanical clicks
11. nSure.ai — Guardian of digital goods (4/10)
What is it?
nSure.ai is a specialist in gift cards and subscriptions, catches entries of stolen cards.
Where is it found?
Platforms with digital goods.
How does it work?
Checks the card, IP, device, history.
AI blocks suspicious items.
Monitors every order.
How to bypass it?
Cleanliness: New or clean device, home IP.
Small change: warm up by entering $10-20.
Anti-detect: Simple solutions work if the behavior is ok
Where to get burned?
Large orders with a new card are a red flag. The complexity is average, the chance of approval is good for small amounts.
12. Resistant AI — X-ray for fakes (5.5/10)
What is it?
Resistant AI is a fake document hunter, works in fintech and banks. Checks transactions for anomalies.
Where is it found?
Banks, credit services.
How does it work?
Scans passports, invoices, photos for fonts and metadata.
AI catches fakes and anomalies in transactions.
Tough with loans.
How to bypass it?
High-quality fakes: Fakes must be perfect.
Real drops: Drops with real documents.
Where to get burned?
AI tears apart fakes, even high-quality ones. High complexity for documents, medium for transactions.
13. WEB ANTIFRAUD — Shadow Catcher (5.5/10)
What is it?
WEB ANTIFRAUD is a stealthy hunter for Trojans, code substitution, and anti-detect browsers. Focuses on session metadata, works in e-commerce and fintech, but is less known than Forter or Sift.
Where is it found?
Niche shops, payment platforms, startups.
How does it work?
Analyzes session metadata: reuse of subsessions, code substitution, removal of anti-fraud scripts.
Checks device, IP, behavior for anomalies.
Catches attempts to manipulate the browser or scripts.
How to bypass?
Clean setup: Clean device, residential IP, premium anti-detect (Dolphin Anty, Incogniton).
Naturalness: Scroll the site, move the mouse randomly, pause.
Anti-detect: Set it not to touch the DOM and not leave traces of substitution. Check WebRTC and headers.
Where to get burned?
Cheap solutions (like old versions of GoLogin) will be detected by Chromium traces or proxy leaks. Complexity is medium-high, the chance of approval is average, since the system is niche, but tenacious.
WEB ANTIFRAUD vs anti-detects
It detects through the analysis of subsessions (unique page tags) and traces of substitution. If the anti-detect adds unnecessary extensions, changes the DOM or leaves traces of Chromium (for example, headers), the system senses something is wrong. Behavior is also at risk - mechanical clicks or lack of scrolling are detected.
Bottom line: Be smarter!
Anti-fraud systems are like cops, watching every step. Forter and DataVisor are the most complex, their AI is smart and adaptive. Fraud.net and FUGU are easier, especially in shops with weak settings. Signifyd and nSure.ai give a chance due to high transaction approval. Sift and Riskified are dangerous due to network databases, and ClearSale, Vesta, Nethone are average, where the risk is still high.
Advice: Use clean devices, use the best drops (join ShipJET), anti-detect browsers. Think one step ahead, change schemes, don't be greedy.
Signifyd (8.5/10), Forter (8/10) - everywhere, especially in e-commerce.
Sift (7/10), Riskified (7/10) - often in fintech and luxury shops.
ClearSale (6/10) — dominates in Latin America.
DataVisor, Vesta (5/10) — less common, in banks and subscriptions.
Fraud.net, Nethone, Resistant AI, WEB ANTIFRAUD (4-5.5/10) — rare but dangerous.
FUGU, nSure.ai (3-3.5/10) — almost never encountered.
Be smarter than the system, play carefully, good luck!
1. Forter - Paranoid Security Guard (7/10)
What is it?
Forter is a leader in e-commerce with a market share of 3.8%. Like a bouncer in an expensive club, it checks everything: IP, device, clicks, card insertion speed. Their AI is fast, it learns from every order. If they miss fraud, they pay themselves, so they are angry.
Where is it found?
Luxury brands, large online stores, marketplaces.
How does it work?
Collects data: browser, geolocation, behavior on the site.
Assigns a risk score to the transaction. If suspicious, requires code or blocks.
Remembers patterns, repeating the same thing is a dead end.
How to bypass?
Imitate behavior: Clean device, residential IP (not a data center). Enter data slowly, as if you are on the site for the first time.
Change your approach: Forter learns quickly, one mistake - and your tricks are in their database.
Best drops: We have the best drops (join JET SHip)
Where to get burned?
AI exposes little things, like input speed or your sock. The difficulty of bypassing is high, transaction approval is rare. Small orders slip through
Forter vs anti-detections
Forter has deep fingerprinting (Canvas, WebGL, fonts, WebRTC). If anti-detection replaces the OS (for example, Windows instead of macOS), fonts or rendering reveal a jamb
2. Sift - Network spy (6/10)
What is it?
Sift is a global detective with a database, works in fintech, retail, tourism. Their AI analyzes behavior: how you move the mouse, what you did on the site yesterday. Less popular than Forter, but still dangerous.
Where is it found?
Payment systems, booking sites, digital platforms.
How does it work?
Checks the device, IP, clicks, history.
Gives a "fraud score". High - ban or two-factor.
The global database is shared between shops.
How to bypass?
Complete purity: New cookies, sessions, residential proxies.
Behavior: Move the mouse chaotically, scroll the site, pause.
Diversity: One puncture, and your schemes are in their network.
Anti-detect: Set up WebRTC and headers to avoid leaks.
Where to get burned?
Got caught in one shop - others will find out. Behavioral analysis catches robots. The complexity is high, but in niches like tourism, the settings are weaker.
Sift vs antidetects
It detects via HTTP headers, plugins, and WebRTC. If the proxy leaks or the anti-detect does not mask the browser metadata, the system senses a catch. Robotic behavior (fast clicks, no scrolling) is a red flag.
3. Signifyd — Chargeback Guardian (4/10)
What is it?
Signifyd is a top e-commerce company, integrated with Shopify, BigCommerce, Magento. It guarantees shops protection from chargebacks, increasing transaction approval by 5-9%. Their AI monitors behavior and tracking.
Where is it found?
Marketplaces, stores with physical goods.
How does it work?
Checks the address, delivery tracking, history, IP.
AI decides whether to allow or block. If ok, the shop sends the goods.
Remembers reroot attempts.
How to get around it?
The long game: Order small items, pay, wait for delivery, then go for the big ones.
Clean setup: New device, residential IP, no traces.
Tracking spoofing: Fake delivery details to make the package "lost".
Where to get burned?
AVS (address verification) and behavioral analysis can fail. The complexity is average, but the chance of approval is high due to the shop's guarantees.
Signifyd vs Antidetects
Antidetects are easier to pass if the proxy is local
4. Riskified - Vigilant shopper (6/10)
What is it?
Riskified is an analogue of Forter, focuses on e-commerce. Protects against chargebacks, analyzes everything. Less aggressive, but still harsh.
Where is it found?
Fashion stores, electronics.
How does it work?
Looks at the device, IP, behavior, history.
Assigns a risk score. If it stinks of fraud, blocks.
Learns from each order.
How to get around it?
Slow approach: Scroll through the site, add to cart, take breaks.
Microtransactions: Enter small change for trust, then large.
Best drops: We have the best drops (join JET SHip)
Clean: Clean device or new Antika session, resident IP.
Antidetect: Use a resident IP and check the fonts
Where to get burned?
Their base connects shops The complexity is high, the chance of approval is average.
Riskified vs Atidetects
Riskified checks the fingerprint (Canvas, fonts) and behavior. Antidetects are detected if the OS substitution produces discrepancies (for example, Windows fonts on macOS) or the IP is not from the map region.
5. ClearSale - Analysts on guard (5/10)
What is it?
ClearSale is a hybrid of AI and manual verification, popular in Latin America. Robots scan, and analysts get to the bottom of the details.
Where is it found?
Brazilian retailers, international shops.
How does it work?
AI checks IP, device, card, address.
Suspicious ones are sent for manual check.
Analysts dig deep, old schemes don't work.
How to get around it?
Imitation: Log in with your home IP, browse the site, behave naturally.
Diversity: Don't repeat the schemes, analysts notice.
Anti-detection: Simple anti-detections work if the behavior is natural.
Small orders: Enter a little at a time to avoid verification.
Where to get burned?
Analysts are a problem. Medium complexity, average chance of approval.
6. DataVisor — Anomaly Detective (6.5/10)
What is it?
DataVisor is a brainy AI, works in fintech and banks. Uses unsupervised learning, catches anomalies, even new schemes.
Where is it found?
Banks, credit platforms.
How does it work?
Analyzes transactions, IP, devices, behavior.
Looks for oddities, but doesn't follow the rules.
Mass fraud is spotted instantly.
How to get around it?
Single schemes: Don't spam, work carefully.
Cleanliness: New device, new IP.
Naturalness: Do everything slowly, like a regular user.
Anti-detect: Avoid unique fingerprints, imitate standard parameters.
Where to get burned?
DataVisor remembers the style, mass schemes are a red flag. High complexity, low chance of approval.
DataVisor vs Anti-detects
catches through unnatural combinations of parameters (for example, a rare version of the browser with the OS). If Canvas or WebGL are too "perfect", this is an anomaly.
7. Fraud.net - Customizable trap (3.5/10)
What is it?
Fraud.net is a modular system, shops customize it for themselves. Catches click fraud, carding, works in games and fintech.
Where is it found?
Gaming platforms, small fintech.
How does it work?
Collects IP, device, clicks, transactions.
AI and shop rules decide whether you are a fraudster or not.
Provides analytics for shops.
How to bypass?
Study the shop: Try small orders to find weak spots.
Purity: clean IP
Naturalness: Scroll through the site, add to cart, take breaks
Anti-detections pass if the shop settings are weak. Difficulty is average, the chance of approval depends on the shop.
Best drops: We have the best drops (join JET SHip).
Where to get burned?
Shops adjust the system to your tricks. Difficulty is average, the chance of approval depends on the settings.
Fraud.net vs Anti-detections
Fraud.net checks fingerprint and behavior, but depends on the shop settings. Cheap anti-detections are detected by weak proxies or unnatural clicks.
8. Vesta — Payment filter (4.5/10)
What is it?
Vesta is a payment specialist, catches fake card entries and subscription scams.
Where can it be found?
Telecom, subscriptions, payment gateways.
How does it work?
Checks the card, IP, device, history.
AI blocks suspicious items.
Compares with past transactions.
How to bypass?
Clean: New device, home IP,
Small change: Enter small amounts.
Anti-detect: Set up proxies and headers.
Where to get burned?
A new card with no history is a red flag. Average complexity, average chance of approval.
Vesta vs anti-detects?
Vesta focuses on the card history, but checks the IP and device. Anti-detects are detected if the proxy is not from the card region or the browser headers indicate a substitution.
9. Nethone — Click Tracking (5/10)
What is it?
Nethone is a master of behavioral analysis, monitors clicks, scrolling, mouse movement. Catches bots in shops and fintech.
Where is it found?
Ticket platforms, European stores.
How does it work?
Creates a behavioral profile: IP, device, clicks.
Tracks geolocation.
How to bypass?
Imitation: Move the mouse randomly, scroll the site, pause.
Clean: Clean browser, residential IP.
Local proxies: Proxy from the country of the map.
Anti-detect: Use top solutions, customize the behavior.
Where to get burned?
Robotic behavior is detected in a second. Complexity is medium-high, the chance of approval is average.
Nethone vs anti-detects?
It detects through behavior: smooth mouse movements, fast input, no scrolling. Checks Canvas and Audio for substitution.
10. FUGU - Daring Newbie (3.5/10)
What is it?
FUGU is a young player in fintech and shops, quickly analyzes transactions. A smaller database gives a chance.
Where is it found?
Fintech startups, small shops.
How does it work?
Checks the card, IP, device, behavior.
AI provides a risk assessment, blocks or requires verification.
Learns from each order.
How to bypass?
Purity: New device, anti-detect browser.
Naturalness: Scroll through the site, add to cart.
Best drops: We have the best drops (join JET SHip)
Anti-detections pass if the proxy is high-quality
Where to get burned?
FUGU The complexity is average, the chance of approval is good.
FUGU vs anti-detections
FUGU checks the basic fingerprint and behavior. Cheap anti-detections are detected by weak proxies or mechanical clicks
11. nSure.ai — Guardian of digital goods (4/10)
What is it?
nSure.ai is a specialist in gift cards and subscriptions, catches entries of stolen cards.
Where is it found?
Platforms with digital goods.
How does it work?
Checks the card, IP, device, history.
AI blocks suspicious items.
Monitors every order.
How to bypass it?
Cleanliness: New or clean device, home IP.
Small change: warm up by entering $10-20.
Anti-detect: Simple solutions work if the behavior is ok
Where to get burned?
Large orders with a new card are a red flag. The complexity is average, the chance of approval is good for small amounts.
12. Resistant AI — X-ray for fakes (5.5/10)
What is it?
Resistant AI is a fake document hunter, works in fintech and banks. Checks transactions for anomalies.
Where is it found?
Banks, credit services.
How does it work?
Scans passports, invoices, photos for fonts and metadata.
AI catches fakes and anomalies in transactions.
Tough with loans.
How to bypass it?
High-quality fakes: Fakes must be perfect.
Real drops: Drops with real documents.
Where to get burned?
AI tears apart fakes, even high-quality ones. High complexity for documents, medium for transactions.
13. WEB ANTIFRAUD — Shadow Catcher (5.5/10)
What is it?
WEB ANTIFRAUD is a stealthy hunter for Trojans, code substitution, and anti-detect browsers. Focuses on session metadata, works in e-commerce and fintech, but is less known than Forter or Sift.
Where is it found?
Niche shops, payment platforms, startups.
How does it work?
Analyzes session metadata: reuse of subsessions, code substitution, removal of anti-fraud scripts.
Checks device, IP, behavior for anomalies.
Catches attempts to manipulate the browser or scripts.
How to bypass?
Clean setup: Clean device, residential IP, premium anti-detect (Dolphin Anty, Incogniton).
Naturalness: Scroll the site, move the mouse randomly, pause.
Anti-detect: Set it not to touch the DOM and not leave traces of substitution. Check WebRTC and headers.
Where to get burned?
Cheap solutions (like old versions of GoLogin) will be detected by Chromium traces or proxy leaks. Complexity is medium-high, the chance of approval is average, since the system is niche, but tenacious.
WEB ANTIFRAUD vs anti-detects
It detects through the analysis of subsessions (unique page tags) and traces of substitution. If the anti-detect adds unnecessary extensions, changes the DOM or leaves traces of Chromium (for example, headers), the system senses something is wrong. Behavior is also at risk - mechanical clicks or lack of scrolling are detected.
Bottom line: Be smarter!
Anti-fraud systems are like cops, watching every step. Forter and DataVisor are the most complex, their AI is smart and adaptive. Fraud.net and FUGU are easier, especially in shops with weak settings. Signifyd and nSure.ai give a chance due to high transaction approval. Sift and Riskified are dangerous due to network databases, and ClearSale, Vesta, Nethone are average, where the risk is still high.
Advice: Use clean devices, use the best drops (join ShipJET), anti-detect browsers. Think one step ahead, change schemes, don't be greedy.
Signifyd (8.5/10), Forter (8/10) - everywhere, especially in e-commerce.
Sift (7/10), Riskified (7/10) - often in fintech and luxury shops.
ClearSale (6/10) — dominates in Latin America.
DataVisor, Vesta (5/10) — less common, in banks and subscriptions.
Fraud.net, Nethone, Resistant AI, WEB ANTIFRAUD (4-5.5/10) — rare but dangerous.
FUGU, nSure.ai (3-3.5/10) — almost never encountered.
Be smarter than the system, play carefully, good luck!
