Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D2310306900DD3741CBA6C8A772577A22F58341C903068AFAF4C7BA9BEFD69CA37155 |
|
CONTENT
ssdeep
|
768:eNsIx/jzdqjIbCR1IZ2CPZffUP1/zYMVcUf7x:csIxfdqjIbCnIZ2CPZf8XVj7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33e6c983ec3c383 |
|
VISUAL
aHash
|
0000242e3e7c78e0 |
|
VISUAL
dHash
|
b5d4c8ccccc8c040 |
|
VISUAL
wHash
|
10102c6e7e7e7cf8 |
|
VISUAL
colorHash
|
30019000400 |
|
VISUAL
cropResistant
|
c1f0f078bcb4bc3e,fc9a40061e0e6012,b5d4c8ccccc8c040 |
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 1534 techniques to evade detection by security scanners and make reverse engineering more difficult.