Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3526133B200D8194E9B9188F2C4E58D505AD34AEF314CC6A1B591FF7BC9CF129A93AD |
|
CONTENT
ssdeep
|
192:LXdJdwjmF+mS8SUSISz9sxx+Mp6ElKaGlx30McnthWeNWbA:ZJdwjmF+mtF309sx76EEb0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af16691268327d79 |
|
VISUAL
aHash
|
00ffbf979fbffbd1 |
|
VISUAL
dHash
|
ec406c2c36603333 |
|
VISUAL
wHash
|
003787878f9ff981 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
ec6c6c2c32602333,2d2c2c2cac430880 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.