Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6C3F033425975264033C3D830BA5736E2969E8FFA630A050FECD7FB1BE9CA4655B05A |
|
CONTENT
ssdeep
|
1536:w944ngwdw96Rw2Fa1QlrBnPj3DC5EhDWW33zEhM93Yg1BhgRXRSRLL:w5gpy5Wa5gRXRSRf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84a97c3b49669c6 |
|
VISUAL
aHash
|
fff1f090d1f1ffdf |
|
VISUAL
dHash
|
6c53b33535d3632b |
|
VISUAL
wHash
|
26f1918181f1ffc3 |
|
VISUAL
colorHash
|
07000001c00 |
|
VISUAL
cropResistant
|
6c53b33535d3632b,a08080c0c08080a0,a08080c0c08000a0,800080d0d0800080,a000c09a9ac080a0,8284a88e9e8ca088,45c4aae2d2da8e31 |
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 200 techniques to evade detection by security scanners and make reverse engineering more difficult.