Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6C177739444C81A1EB7978DF7C0F69C93A7C36AE5305883A1C4606F2AC0EF995A3369 |
|
CONTENT
ssdeep
|
96:9XT4z2TsTTsCeclcPHdsR1s9gfMmORR1E8VCone09Qd/ol:9kzFmG2gigfMmUU8VCoSy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f5a4042473b713f |
|
VISUAL
aHash
|
00bf8f8fbfdf8fff |
|
VISUAL
dHash
|
4d213a58601034b6 |
|
VISUAL
wHash
|
009f0f8f1f1f0e96 |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
4d213a58601034b6 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)