Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CF3F61273E1B63A82C3F0F0959B8D49BB3852D8534A9449465CC9A89E38CBCC77FD9D |
|
CONTENT
ssdeep
|
1536:imGQ6cEAN33PwpJ5SsjWg7NLXdkIrOkbgC05oKWikmwWk8w2hJdx996VmhArZXwS:tGS71KXdki0791hUh4JXMsnU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936c2ce96cc6c5 |
|
VISUAL
aHash
|
000e6e2e0e0e0068 |
|
VISUAL
dHash
|
bcd8d8d8d85c87d9 |
|
VISUAL
wHash
|
380e7e6e6e0e407d |
|
VISUAL
colorHash
|
310060000c0 |
|
VISUAL
cropResistant
|
8000e04360a080e0,bcd8d8d8d85c87d9 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.