Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AA2100232085A66C2B3489D941026847287E74FC9718770967C5E7F2BE2AA177F9F7F |
|
CONTENT
ssdeep
|
384:2QS6RolQeCHiullLZQQEeCoohRXgzffZbMVuuk/qUkWhJ145:iWxiul/eiohR0MVuuok7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e60431f7c1f710d |
|
VISUAL
aHash
|
00ffff979dbf3cff |
|
VISUAL
dHash
|
6101867575716108 |
|
VISUAL
wHash
|
00fdf305119d3cfc |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
6900077575716108,0000103030100800 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)