Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180D11EF1D000ED37435385D9A7BA7B0B7691C349CE030A44A3F883AF9BDACA0CE15599 |
|
CONTENT
ssdeep
|
96:TkSnfzDJ1tkUcut8v67Mcdw5KFmuXPHFI4CXjX/dpytQ6fq2J:QSnfzDJ1bcut8iIGwWqxX7yiaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e413931bac6cc7 |
|
VISUAL
aHash
|
fff3f3d3ffffff00 |
|
VISUAL
dHash
|
3806262600220000 |
|
VISUAL
wHash
|
9cc0c0d00000ff00 |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
3806262600200000,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.