Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3D3B570B0B11637023F7685F350A755B2A3E70F8BC90BF9EAD887994B89C946F17489 |
|
CONTENT
ssdeep
|
3072:iNAwbvPYq4GApSFg7755I9u+hSa1j1x5hnFU:iNAwZqSiAU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df80238689d87677 |
|
VISUAL
aHash
|
ffef98bc3c180000 |
|
VISUAL
dHash
|
a019313171714552 |
|
VISUAL
wHash
|
ffff989c9c988080 |
|
VISUAL
colorHash
|
1b007000080 |
|
VISUAL
cropResistant
|
e2b8baa2902b2bc0,a019313171714552 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)