Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19023967148C47B2B97B783C9D310AA4BF3958184E27AC95BF1D6831F27C5E49CC266AC |
|
CONTENT
ssdeep
|
768:13IbunQ+sD4Bnp/DXhAF/LSli9qWO/3m9Sofq1mmNgkHnqnym1WBEt8s5uEgfn:13ISnQ3DMp/DW8OqWO/3polXcqnKs5uB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebcbca9aca96 |
|
VISUAL
aHash
|
fd0006060604ffff |
|
VISUAL
dHash
|
71ccccccecec3933 |
|
VISUAL
wHash
|
ff0606060600ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
002189616189014a,96d6e8b284710f8e,c038386b2c2b1353,ccccccccccececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.