Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13122F2F1D050D936476381C1B6767BAF77E1C289CF130A2413F853AA6BCEEA199124DD |
|
CONTENT
ssdeep
|
192:EZCSp9zYhhy0/P8iI4FAAZu9ZNg6ZN5ZcRkKzYU8F:EZCSLGy0317FVZ4ZpZDZbKzB8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3738cce227303d9 |
|
VISUAL
aHash
|
ffffc3c3e7ffff7f |
|
VISUAL
dHash
|
0a189e9e0c480ec0 |
|
VISUAL
wHash
|
00ff0303c3c3c33f |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0a189e9e0c480ec0,fffffcfdfcfdcdfd |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)