Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A124133A500CE2A8D9B56CCF1C49589422DC346FB3148C6B26491FF7BC5DF0A6A979D |
|
CONTENT
ssdeep
|
192:BVdlTgxE+toETx00WxJMcnthWeNWb6fMmUU8VCoP6:5lTgxE+8pfMmUFCoP6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b323ec8a139bcd8a |
|
VISUAL
aHash
|
24003c2424ffffff |
|
VISUAL
dHash
|
4986514d4d600800 |
|
VISUAL
wHash
|
24003c043c3cffff |
|
VISUAL
colorHash
|
07600080002 |
|
VISUAL
cropResistant
|
4986514d4d600800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.