Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184C2993172006B3B42D7D3C9B361B32EE2E38249D746092692F983FD1BA7D54DE27616 |
|
CONTENT
ssdeep
|
768:OScy5NY56vuU3wzgnYRjv7sOy2+y9BH4crIe:s56vuCnYRjv7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43a9d28d1e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cccc2e2c8cdc100 |
|
VISUAL
wHash
|
00f7f0302024ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
c10080026ccc8000,948ccec2c0c8cdc1 |
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.