Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFE10DE1D004ED37435285D9A7BA6B4B77D1C34ACF030944A3F883AB5BDADA0CF25699 |
|
CONTENT
ssdeep
|
96:nkzU7DJ1t6t8v67MGdt0ptlgVlOL2XSHlOaXSHl3yXbE/+r2fk2J:ko7DJ1Mt8iIct0pcSVQGEE2kw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c8c33b34ccc |
|
VISUAL
aHash
|
ffffffefffffff00 |
|
VISUAL
dHash
|
0808080a08300000 |
|
VISUAL
wHash
|
2c2404040000ff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
100808080a000000,0000000000000000 |
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 117 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)