Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C92127209452877033B4AD6B564ABAEE2D3C10DCA134C10A7BC47EDDBF9EB4590A94F |
|
CONTENT
ssdeep
|
384:YwUiZem4+1fw94Yo4o5Y4Yo4TW4Yo4rY4Yo4FhA8oEdbl1:RTem/84Yotm4YoAW4Yob4YoAhA8oEbf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9981361c7c6c6e5 |
|
VISUAL
aHash
|
ff0cdfffc3c3c300 |
|
VISUAL
dHash
|
d891b56592968602 |
|
VISUAL
wHash
|
ff1c9dfdc1c1c100 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
d891b56592968602 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.