Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5A2B57610050AAD660343E8B490B75EE1D7F20EDF575E88E3EC22A6ABC9DF19873744 |
|
CONTENT
ssdeep
|
384:bWEVSBsSt4aTKn7++18Ujgk1d8lNIeqGk0++NbLYfMsc33R:bWElStLTKn7z18Ujgk1d8NIemD+NbOMl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94d4e2783a969cc7 |
|
VISUAL
aHash
|
ffff7e3c00003c34 |
|
VISUAL
dHash
|
31e0e8f03132d4d4 |
|
VISUAL
wHash
|
ffff7e3c00003c24 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
31e0e8f03132d4d4 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 2272 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer checks balances of popular ERC-20 tokens (USDT, USDC, DAI, etc.) and only proceeds if total value exceeds minimum threshold.
Pages with identical visual appearance (based on perceptual hash)