Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187F372219114F82BC1D363D5B9A676092750F319C6C202D4AEF8CFD8EADDDA58872FD8 |
|
CONTENT
ssdeep
|
3072:39PFrra7+nO+r+dFCYVRY4TshdPeWxereBeTe8rmHvhLDX:39PFrrain7yd0YVRY4TshdPe4ereBeTe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ea6f1d1c580ae1b |
|
VISUAL
aHash
|
ff00011018101cff |
|
VISUAL
dHash
|
5a6565e574b4f078 |
|
VISUAL
wHash
|
ff0115143c1c1cff |
|
VISUAL
colorHash
|
16402000000 |
|
VISUAL
cropResistant
|
0000036360620016,e0e0f8dcdefee7b3,9292d2d1d16e7e3e,c1d3c0c086868603,35354b4b5b5b5555,e4b4b0d8d8703000,6565e5f475b0d078 |
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 172 techniques to evade detection by security scanners and make reverse engineering more difficult.