Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143A36933411875274437C6D530A59B3BE2A79D4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:CYP++Lz4NP/y9svbliCdQRlFtiuCa28y2O9:FmAc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83acc2c9443 |
|
VISUAL
aHash
|
00600000000000ff |
|
VISUAL
dHash
|
0cc8c8c0c8cd0fb6 |
|
VISUAL
wHash
|
c0eee0783c0703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
008081303000a000,04c8c8c8c0cc1d0f |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)