Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F442EF3286483D37125787D5DAA5A31F31EAC26FDE83162543FC83E90BC6DD5EC26828 |
|
CONTENT
ssdeep
|
384:ZbwQv+wMeZQIMMmPp0mNfzgj8KXA0qpXXZ:ZMe+IMlfzgj8KXA0qpnZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d222d732bf22af2 |
|
VISUAL
aHash
|
0002fffffffffe18 |
|
VISUAL
dHash
|
07c680d4c2f088f3 |
|
VISUAL
wHash
|
00003f7f3f7f7e00 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
07d680e0c2f088f3,434b8b0b03060686,7d7d7b7f7fefebf2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.