Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBC3E931D32D0C3D71BF40ECE7BABB113291C21DE64145646A6C93795BCBCEAB14A678 |
|
CONTENT
ssdeep
|
1536:V4H+iAXu97c1Dieeeeeeeeee4eeeeeeeeeIeoLSejeIeeeeeeeeyeeeeeeeee8eX:gutt0tCY1YS7UXxpDzHyC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666cc99993319cc |
|
VISUAL
aHash
|
ffc3c3c3ffffffff |
|
VISUAL
dHash
|
0c0c0e4e001c1406 |
|
VISUAL
wHash
|
dcc0c0c0cfc7c3c3 |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
0c0c0e4e001c1406,c2d2d2daa5931614,dcc4d293b658695c |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.