Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198D2A93271106A3B42DBD2D97362B31ED2E38249D7560456A2FD83BD0BD3D64DE3361A |
|
CONTENT
ssdeep
|
768:LScy5Nbg8KPCDhFjMJY47D7sOy2+y9BH4c1Ie:J8Kf7D7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43a9c29d1e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cccc2c2c8cdc300 |
|
VISUAL
wHash
|
00e7f1303004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948ccec2c2cccdc3 |
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.