Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147C29732A0002A3F5297D3C9B312F31E92E3A289DA560D1553F9876D8BD7E90DE1356F |
|
CONTENT
ssdeep
|
768:XFe/y5NsuojxdPECnP7sOy2+y9BH4cLIe:qxV3P7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767f83a910cc593 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
0c4cc4c6cccde300 |
|
VISUAL
wHash
|
40e6fa302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cc4e6c8cccde3 |
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.