Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AE10DF1D044ED3B435385D9A7B66B1B76E1C349CB030A4493F883AB5BDACA0CE1569A |
|
CONTENT
ssdeep
|
96:TkNfzD71tDlt8v67Mladi7b8ctmMsMkwwvEQeoeXjHF3ehXkz/kRYRd2J:QNfzD715lt8iIlAi/YMskoIMyzsRKdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8bc47b13147c731 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
303030b094000000 |
|
VISUAL
wHash
|
c0c0c0c000300000 |
|
VISUAL
colorHash
|
07000c00008 |
|
VISUAL
cropResistant
|
0030303020141040,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.