Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125C141D1C408CD36471296D9F7F96B1BE5E2C319CA01198453FC43BB6BCFC60CA16699 |
|
CONTENT
ssdeep
|
96:TkmM4zdaPfSThCwvFyeYeXmHFb0eRX6z//ECrJ:QmM4zdaid9Yxxj0z0C1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6f64999b907a606 |
|
VISUAL
aHash
|
ffffe7ffffff0000 |
|
VISUAL
dHash
|
000c4d0c0c0e7170 |
|
VISUAL
wHash
|
fce4e7c7c7e70000 |
|
VISUAL
colorHash
|
0e0006000c0 |
|
VISUAL
cropResistant
|
04000c4d0c0c0c0c,0000000000000000,40166969b2b2320c |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.