Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B192E86262082F3E6517C3DCFBE1F224524BD29AD22FCA18E6BD17755297CC4E823694 |
|
CONTENT
ssdeep
|
192:aTOiD87AcukYOPiWOq13sy3cakYO2RH8qBlVdPbjywAcQSyUZxBcFL/W:A87ikYOfhsXYOc7Ph2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8809f2f60bfce5b0 |
|
VISUAL
aHash
|
0300000000ffffff |
|
VISUAL
dHash
|
b7f3f3f3fb4cac94 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
00002222220000ff,515b9b990933ab9b,c8aa80aa2aa280aa,324c4eacac949428,f7f3f3f3b3f1f3fb |
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.