Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B5243E1D054ED37471681C5A7F16B1F36A1C309DF060A9493F893ABA7CECA0CB225AD |
|
CONTENT
ssdeep
|
192:QC/6rHzYTf+98i4F6nkiEi6FScrCIyNm2hBSIx5ID47tFpQ9B8F:QS6vd14FxXi6Fl+ZYA/xiD47K8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414c9ebe17606fc |
|
VISUAL
aHash
|
ff000000ffffffff |
|
VISUAL
dHash
|
00f8ecac00b430d0 |
|
VISUAL
wHash
|
e7000000c7ffdf3f |
|
VISUAL
colorHash
|
06640008000 |
|
VISUAL
cropResistant
|
000000000e0e00f4,8c16b03030b030d0,f070ace8a4ecac8c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.