Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F429774B24029BB529749B5F5A2FB7AE1EBC71DCA1BC898F3AD829327C5C904943210 |
|
CONTENT
ssdeep
|
192:UvW1L7ZuCAkdAH/CH/0H/mH/xH/Bgpovf20ijgOF4F0KFpFwXFCpX7DWB7ptb0vU:0W1LtuCAoAH/CH/0H/mH/xH/ipovf8kS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb2c38c36432e7c7 |
|
VISUAL
aHash
|
00180800383c3c38 |
|
VISUAL
dHash
|
96327ab062696962 |
|
VISUAL
wHash
|
7e3c1a783c3c3c38 |
|
VISUAL
colorHash
|
3001b000000 |
|
VISUAL
cropResistant
|
b6801616c826368c,b28c8e8e8c8e96aa,96327ab062696962 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.