Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAF177BB6042E81A56B186A9B560730CDD939E46E753FEC440E44B2E7AE0F61C401FEF |
|
CONTENT
ssdeep
|
192:HKKiVLl31XpWvYxwkj2jfw5Waa6ZT5TheFTxHxiC:HOV3XUYxwkiEIP6ZT5TheFTSC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc66cc8c66 |
|
VISUAL
aHash
|
e7e7e7c7c7ffffff |
|
VISUAL
dHash
|
0c0c0c4c0c0c0000 |
|
VISUAL
wHash
|
c0c0c0c0c3c3ffff |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c0c4c0c0c0000 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)