Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B492227209452877033B4AD67564ABAEF2D3C10DCA134C10ABBC47EDDBF9EB4590A94E |
|
CONTENT
ssdeep
|
384:YwUiUh2emph2+1fw94Yo4o5Y4Yo4TW4Yo4rY4Yo4FhA8oEdblL:RS2emfF84Yotm4YoAW4Yob4YoAhA8oEx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3931365cccc8ce9 |
|
VISUAL
aHash
|
ff2cffffc3c3c300 |
|
VISUAL
dHash
|
cc595d2592968602 |
|
VISUAL
wHash
|
ff2cadfdc1c1c100 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
cc595d2592968602 |
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.