Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BE2987260006B3B019792C6B2D0EB6A63E3874FD74A051663FD876D0BE3E50E92775E |
|
CONTENT
ssdeep
|
768:QQengHTdBuhrFAQFXp97sOy2+y9BH4cLIe:Sgz1k77sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d262ed12bd6992c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98c8c4c8cc0cd300 |
|
VISUAL
wHash
|
0064703c0e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,98c8c4c0c8cc2cd3 |
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.