Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1835173A011644D3BA043D6F4F3F6A70736918286D7430A74A7F8A79D9DEFC91CD922A8 |
|
CONTENT
ssdeep
|
48:TQwBDqyVB2A9k5DwVnTY6TV/aHcVJkYcShATWJ+tATWJjD0:TQIDdVWDfkjXJcGYWJKYWJj4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99996666669999cc |
|
VISUAL
aHash
|
00183c1800000000 |
|
VISUAL
dHash
|
0cb2b2b20c300000 |
|
VISUAL
wHash
|
007c7c7c40404040 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
e2c2dac8ba3a80b2,0cb2b2b20c300000 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|