Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102E2A732B1503A37519793CEB762A71AA2E38249EB47041192FDC3BD0BE3D94D73752A |
|
CONTENT
ssdeep
|
768:oSky5NrqZ6Wy0JuNhjxa7sOy2+y9BH4c1Ie:cZhA/U7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed06c3b3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
96c8c8c2cadcec00 |
|
VISUAL
wHash
|
0064ec70602cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,928cc8cac2c8dcec |
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.