Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118E29872A0406B3B019792C6B291A75AA3E3834ED74E142693FD831D0BE7D51ED2736F |
|
CONTENT
ssdeep
|
768:bkQenh1Dka3S8nOupQoh8xflOImfH7sOy2+y9BH4cLIe:buh1gZdU7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342f91a9d6996c1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
d88cc8caec0cc300 |
|
VISUAL
wHash
|
006470383c0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,d888ccc8c8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.