Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C62A820558A663B06B613808B93FB1BE7C491C1E2274DC5D5FD874F87C9EF4DA7121A |
|
CONTENT
ssdeep
|
384:Pz3w44C1TD6EwFR1F3iBU4FxE2/E45xib4q8Y:k44hpymKxEMBxiEY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccbc3393b964cc34 |
|
VISUAL
aHash
|
3c3c1818183c243c |
|
VISUAL
dHash
|
e869b2b2b2f0ccf0 |
|
VISUAL
wHash
|
7e3c3818183c7e7c |
|
VISUAL
colorHash
|
30406000000 |
|
VISUAL
cropResistant
|
ccc29292c6f4b3e7,f0cc1b5921634d23,e869b2b2b2f0ccf0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.