Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FD28331A044363F129B83C9B751F76EA2E35249E746091653FD83AD0FE7E90DE1351A |
|
CONTENT
ssdeep
|
384:UvSFy5N2cMe7lOjHW2vmWPMjvZEZ/W1V9pai2+CIYsOy2+y9BH4cCUIe:qSFy5N22iHWyZuv9U7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f82ecc2c85c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808ccc0cc0c0f00 |
|
VISUAL
wHash
|
00ece4203c06ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408ccc0c0cccc0f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)