Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15892227205452877033B4AC6B564A7AEE2D3C10DCA134810ABBD47EDDBF9EB4590A94F |
|
CONTENT
ssdeep
|
384:YwUisemJ+1fw94Yo4o5Y4Yo4TW4Yo4rY4Yo4FhA8oEdbl1:RGemA84Yotm4YoAW4Yob4YoAhA8oEbf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19a1361c6c6c6ed |
|
VISUAL
aHash
|
ff0cdfffc3c3c300 |
|
VISUAL
dHash
|
dcd9152592968602 |
|
VISUAL
wHash
|
ff0c9dfdc1c1c300 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
dcd9152592968602 |
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.