Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14822FD748453EC3B839BC2C5A5B5A76B32E183DCCE030655A3FE83A85BDAD84FE05855 |
|
CONTENT
ssdeep
|
96:SmKxt8yMRFDSWcfaM+RmzB9sgncx6Z5PLse+zCSLsPO:P6moWW+RmzB9s76Z5PAe+zCSLsPO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c79eb83838399c |
|
VISUAL
aHash
|
9970606078607c14 |
|
VISUAL
dHash
|
31c4c2d0c0c0d5d1 |
|
VISUAL
wHash
|
ff7070607c603c7c |
|
VISUAL
colorHash
|
38000000206 |
|
VISUAL
cropResistant
|
31c4c2d0c0c0d5d1 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.