Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B63163C72C05A3910CBC7F2E564EF2AD698CB99DB27AD4BF2A8D3475786C44CE51260 |
|
CONTENT
ssdeep
|
768:W6FfVqPVHfXHwo4xBg28r4PL1v3PZJyLI6BF:xf4wPL1v3PgF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9f927d58c74b094 |
|
VISUAL
aHash
|
7889c9d9fcfe9001 |
|
VISUAL
dHash
|
d24b93b130302629 |
|
VISUAL
wHash
|
78a9c9d9fcfc9001 |
|
VISUAL
colorHash
|
0f0000001c0 |
|
VISUAL
cropResistant
|
d24b93b130302629 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.