Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4E2B972A0507B3B01A791CAF290B76AA3E3874FD34A051257FD832D0BE3D50D96779A |
|
CONTENT
ssdeep
|
768:mQeXMi4ZWWbeA7G3Gs1dct37sOy2+y9BH4crIe:onegN07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c241f932bd4d96c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d8c8c4e0cc0cc300 |
|
VISUAL
wHash
|
006c70380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,d888cce0d8cc3cc3 |
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.