Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CA2D63560802A3F5267C3DA7352BB2EA4D38249D7950C0583FC1B6E8BDBF90DC2749A |
|
CONTENT
ssdeep
|
384:epy5NRYQb+KkRkiMAkQAjnpMWEKV8DqXCCnIYsOy2+y9BH4cCUIe:epy5NRYQSHkQAjnSlKV8DqSo7sOy2+yv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c64fb932916d92b2 |
|
VISUAL
aHash
|
000030300000ffff |
|
VISUAL
dHash
|
9cc0e0e3cccc9300 |
|
VISUAL
wHash
|
00f07070240fffff |
|
VISUAL
colorHash
|
39000000180 |
|
VISUAL
cropResistant
|
0010606969680420,0080800270908000,9cc0c0e0e3ccccc3 |
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.