Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101B3C7F0619277B7C18BB3D19332AB1A33D7A2D9CB92039592F8835E5BD6C60DC27548 |
|
CONTENT
ssdeep
|
768:b4HvedcV9AIFbjedQed+4WedIedAzGeg14edIed9uuedRedgDedaed+edzqgYR+f:sh5xiegq+q/RkTFxJBIa+wWLEj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d7892cbcb826d39 |
|
VISUAL
aHash
|
bd9983b399f33f3f |
|
VISUAL
dHash
|
6933362233626962 |
|
VISUAL
wHash
|
1d18829199b33f3f |
|
VISUAL
colorHash
|
07018000400 |
|
VISUAL
cropResistant
|
6933362233626962,3c57694d4d5f7e2c |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.