Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEE177E1C118DD37071286D6FBF52B5B7A92C319CF0309C453F882EB9BDAC60CA16699 |
|
CONTENT
ssdeep
|
96:TkIpR79oh4lzH0XfeGiEdt7U6wDwvFFeFXlHFkReDxX//z/bt7UJqQPJ:Qg79oh4lzH0X1iEdtwBXbBzTOqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b993696e1e6c4c46 |
|
VISUAL
aHash
|
00ffffffffc3c3c3 |
|
VISUAL
dHash
|
300c0c32080f1717 |
|
VISUAL
wHash
|
00e7ffdfc7818181 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0c4d2230280f1717,0000001404020000,0000000000000000 |
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.