Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151B2A5329144263F41A783CDF761B72DA2E39288DB8A291992FC479DCBD7F50DC23466 |
|
CONTENT
ssdeep
|
768:7gy5N550CIIIIIIcz7RDyA65H7sOy2+y9BH4c1Ie:V0CIIIIIIcz7Run7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d22bad12d449d3d6 |
|
VISUAL
aHash
|
000120000400ffff |
|
VISUAL
dHash
|
970f41516c8cd100 |
|
VISUAL
wHash
|
0087fd800e04ffff |
|
VISUAL
colorHash
|
32001400200 |
|
VISUAL
cropResistant
|
8a300c4d0c300482,1080800030908000,971f4d5158ec8cf1 |
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.