Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14273637292542837617B79DAF064672AD2D3D70FCA8346E1A2FCD39A0FD6C91E85340E |
|
CONTENT
ssdeep
|
1536:0gGXWncrfxge7lsgkQgmpgClgfNgo6g+HgvmgAsgkGgCugdUgXbgXxghwg6sge8X:JGXWsxIkNqzaQYWadhg8Ak8dlqJXV5DQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc4731c3999cac3c |
|
VISUAL
aHash
|
0020d7ffdbc3c3c3 |
|
VISUAL
dHash
|
c8c8263016161696 |
|
VISUAL
wHash
|
0000d7ffdbc3c3c3 |
|
VISUAL
colorHash
|
07000008040 |
|
VISUAL
cropResistant
|
c8c8263016161696,8e2643434f1f0dad,6ca95c965569b29c |
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 210 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)