Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC214123B0045C2A1533C6D5F799B32716A9D694E30F1A80A6DED3AC6BD5E24FC762C4 |
|
CONTENT
ssdeep
|
24:hR/Y90fgRRhMZjJJJdjojhllUYllJMv1dlqQ+vyEvP95GP4mCEMX:TwLgj1mlJMk1viQtX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f170f070f |
|
VISUAL
aHash
|
200f1f8f1e9ebf1f |
|
VISUAL
dHash
|
60723c2a383a633b |
|
VISUAL
wHash
|
000f778c1e9e9f0f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
60723c2a383a633b |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)