Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103741C34C2F68A7E115F71DAE6B12B5822E3E34BDFC327F2C5D6854A5781C686E0B148 |
|
CONTENT
ssdeep
|
3072:JnWVCQjSX8bnH16uFaaSsQkPF5zmB6u5ZMUfkAJkE:JnMCQjrnH16grDPF5yB6u5ZMUPkE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bacd51363c69471c |
|
VISUAL
aHash
|
00ffffc387878787 |
|
VISUAL
dHash
|
9600883b3f1c1d1d |
|
VISUAL
wHash
|
00ffff8183878783 |
|
VISUAL
colorHash
|
06200008180 |
|
VISUAL
cropResistant
|
0208033f3c1d1d1d,2996b696d6b8b042,00c00b36b619d804,b62f2b662424a6a6,e3c4c4844cb52525,ad196de1a5e52129 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.