Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0647B234259792A4437C7D134A99B3BD1A6DE8BFAA70A000FDCC7F72AF9C60745A11D |
|
CONTENT
ssdeep
|
1536:SUgQmTa3MZo+Hd1+702pGd+Smfu4/ZT4oU5y+0FEiKIwmvSpO5CmBPR+N0M1n+kz:SOQX7fQfFl4Yn0+d5g/D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b346b9cd1a39cc16 |
|
VISUAL
aHash
|
0000200004ffcfcf |
|
VISUAL
dHash
|
98cdccc8cc3b1a3b |
|
VISUAL
wHash
|
0064740466ffcfcf |
|
VISUAL
colorHash
|
3220000000b |
|
VISUAL
cropResistant
|
10033b1e3b3b3a3b,a8d5cdc8ecc8cccc,0100000000000000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.