Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13352047D3191567B55C781B6B621AF6BE7DDC34ACA2BDD0AB3F883860BDEC018C81254 |
|
CONTENT
ssdeep
|
96:C2LhWkuCCBt61RkcGzxr9RkcASOaqwfBl1gggPh19XyWdFJziWzBvLy64IrK+4zi:bWkuCSiRkFzxBRk5jmiNHgjQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8306ecbc1993e7cc |
|
VISUAL
aHash
|
1f00200000ffffff |
|
VISUAL
dHash
|
31cce8d8308f565a |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
074000c0000 |
|
VISUAL
cropResistant
|
02457171755500b2,81c2c2d8d4c0c08a,304ccc29d2d25a6a,b2cce4e8c8d858f0 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.