Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172E25430234959EF0393E6B5EA507F0AB5FAC1FDEE2B925662E8166E27E3C10CD15314 |
|
CONTENT
ssdeep
|
768:kVyvo/DTupAn+4RchpKMZ6CXDEYfdda4KBisw3:qk+JZRwDEwFKBi7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e61c313c3cb5e1 |
|
VISUAL
aHash
|
06707e0e60600018 |
|
VISUAL
dHash
|
94c8cc78d8dc2071 |
|
VISUAL
wHash
|
46fc7e7e6c0e003c |
|
VISUAL
colorHash
|
38e00010000 |
|
VISUAL
cropResistant
|
94c8cc78d8dc2071 |
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 102 techniques to evade detection by security scanners and make reverse engineering more difficult.