Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EE264325104AB3B02E783DAB761A71EA3E2C34ADB86061543FD835D4BE7E41DE73526 |
|
CONTENT
ssdeep
|
768:ReaywDqVF5ycCdVaCbD7sOy2+y9BH4c1Ie:kw0jyhLDD7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412cd39b8e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dccc48c8cccc0d00 |
|
VISUAL
wHash
|
0cfc00380c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c1969696c1c3c3,0880900458988000,9ccc48d8c8cccc2c |
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.