Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C635DE8A580FD2275B310E3605F9046B6B6180FB84D0E50B6C8DEC965FE82B156BBD7 |
|
CONTENT
ssdeep
|
768:qT0TQH7YFcUig0z0C+mU4QQLXV5B7n//0+D3vlBppifjXv9ZBBqlmqygMkkzFi+w:9ig0z0zQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b6dbe44641c645d |
|
VISUAL
aHash
|
028d0c0c2c2c0c8d |
|
VISUAL
dHash
|
1a1b1959d9591919 |
|
VISUAL
wHash
|
cbcf8d0c2c3c8d8d |
|
VISUAL
colorHash
|
302020000c0 |
|
VISUAL
cropResistant
|
e8d0d96c6452bcbe,1a1b1959d9591919 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.