Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB928612F6422D8255BF27C9E117AA8D90C1068F9B494FF655EC47CDFAF1CF06829AC8 |
|
CONTENT
ssdeep
|
192:eJ0+44JozZ/FZUhZuxwTB8vZxc8qZA3wj0Vg+k:exJozZNKuxwT0xcc6L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9343cc7923d6792 |
|
VISUAL
aHash
|
000018187e3c1818 |
|
VISUAL
dHash
|
94b232f0d0c8b2b2 |
|
VISUAL
wHash
|
7e18385e7e7e1818 |
|
VISUAL
colorHash
|
30030010000 |
|
VISUAL
cropResistant
|
64690973660c08f6,8001a8a4ba0a4000,94b232f0d0c8b2b2 |
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 825 techniques to evade detection by security scanners and make reverse engineering more difficult.