Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A45154335002991BA3178DF4F460675E30A7914AE7C31C1891E41BAA5ED8CA6DC1729A |
|
CONTENT
ssdeep
|
48:bu+ougb4DKIGPbrmsVNrVo8BXo4bTvbRr2eSulfTPEZaiX:63b4qZosRHTk9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc336699998999 |
|
VISUAL
aHash
|
e7e7ffffe7e7e7e7 |
|
VISUAL
dHash
|
4d4d96164d4d4d4d |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e000000e40 |
|
VISUAL
cropResistant
|
0202020202020202,8080808080808080,8696b0e064719680,03c0b2b292008f2c |
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 13172 techniques to evade detection by security scanners and make reverse engineering more difficult.