Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D29432A050773F03E393C9B711FB1EA2E35245DA5608069AFC97AE1BE7E40D91361B |
|
CONTENT
ssdeep
|
768:LSFy5NOq9dYNAdvQ4eZLmidv2707sOy2+y9BH4crIe:X9dYNUI/fdvI07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373fc2acc2c81c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c08c8c0cc4daf00 |
|
VISUAL
wHash
|
00ece0203c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9408c8c0c0cccd9f |
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.