Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A53D51023117BAA5C334FB4F38A34B6D1DEE388E5E2782DB368925071D2279C757DA9 |
|
CONTENT
ssdeep
|
1536:kmN0wA3Wns+OpI46o3E4teGcSwq8Z7U1c/j89YJ7wxBFDAi08IOp3:huYJ7tcf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc3233378c |
|
VISUAL
aHash
|
ffefc7c7c7efefe7 |
|
VISUAL
dHash
|
591f8d8d1c161e1e |
|
VISUAL
wHash
|
88c1c7c7c7c3c783 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
591f8d8d1c161e1e,96f971f47833e4f4 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.