Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148E29971A150673F015392C7F290AB6EA2E3834ED24A0417A6FD872D0FE3E51DE1765A |
|
CONTENT
ssdeep
|
768:vQe5DJT7SNsp7ZfGQdpHGVtYFPV7sOy2+y9BH4crIe:FDEonznv7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f93a9c6996e1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d8c8c8c8cc0cc300 |
|
VISUAL
wHash
|
006c70380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,d888c8c8d8cc3cc3 |
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.