Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125F07DA040441A3787B6A38016D1F73976D04FCA9B4A26401BE9A1F455D4FA9C89D0C7 |
|
CONTENT
ssdeep
|
12:hRwY/Jcq8Cy7F0ywFDEqY84aWYLYkUFtTyWwfgHIBOu9m:hR9JSCCqywmsSYuBp/HIBOu9m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993366cc993366cc |
|
VISUAL
aHash
|
0000000018001800 |
|
VISUAL
dHash
|
00000814320c1000 |
|
VISUAL
wHash
|
3f3f2727dcc4c0c0 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
00000814320c1000 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)