Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C10201E1D094A83A036381D5B7763B6F77F1C285CF060E6423F4636E5BCADA1C923999 |
|
CONTENT
ssdeep
|
96:TaFczYh7MSE1tVSTTOxhUSPRtt88v67Tlc494RiEWlcEEDmcMlGGAT431:WFczYhhEUA/O8iERiEW5EDglU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea7c95dd026c02fa |
|
VISUAL
aHash
|
ffffa180c8ffff3f |
|
VISUAL
dHash
|
17006127114000cc |
|
VISUAL
wHash
|
83ff000080ffff27 |
|
VISUAL
colorHash
|
07080002040 |
|
VISUAL
cropResistant
|
17006127114000cc |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.