Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C362A972545849130E71E9DD79B0371EE993C68FDA274D8AE2E4838E3BD2E76D843350 |
|
CONTENT
ssdeep
|
384:eHgJ3EXT3uTJCcs9/ouWkLyoOU4ux7p22qHISejCkLUeF42Bl/dkRy0f:hJ3EDGJCcS/ozk6Xux922eISejCkIeFA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9966611c9b63e4b3 |
|
VISUAL
aHash
|
0010303c1c181838 |
|
VISUAL
dHash
|
e8636629abb23272 |
|
VISUAL
wHash
|
0830ffff1c181838 |
|
VISUAL
colorHash
|
06600008040 |
|
VISUAL
cropResistant
|
0945158c8eb23232,e8636629abb23272,3908c0c456511405 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)