Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15523A675230C3E2D694B87E8F760B768526DA281F91BD1AC61BC52B11BC7DC8F9276C0 |
|
CONTENT
ssdeep
|
768:s3vzIo1qpv4Z////effffqfffft2ffffpffff25222aEakaNcFK:s3vzIo15////effffqffff4ffffpfffg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c318bc69c39efca0 |
|
VISUAL
aHash
|
9900003e6000ffff |
|
VISUAL
dHash
|
231d2ce4c4d22d08 |
|
VISUAL
wHash
|
df00007e6020ffff |
|
VISUAL
colorHash
|
03000000e00 |
|
VISUAL
cropResistant
|
0023232b2b232280,0c2fe0d4cb304d0c,000430b2b2082400 |
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 12 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)
Found 1 other scan for this domain