Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5730E30A400E83741D7A6D8963A976BB2F1C344CA130659BAF883AD9FDFD68CE37554 |
|
CONTENT
ssdeep
|
1536:RGsIxtIIMhXHnjAANmguDDFj3yQIU4fW6lInmimVmav4JTX3Rh6uNZ6Y1CCHSGxS:RGz3PyOfwSZ6QCCHSGxycON7Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6cbb194d786b4b0 |
|
VISUAL
aHash
|
ff0020307c1717e3 |
|
VISUAL
dHash
|
d4d1c5e5e4a4ad0f |
|
VISUAL
wHash
|
ff002078747717e3 |
|
VISUAL
colorHash
|
0bc00008000 |
|
VISUAL
cropResistant
|
0423d4d494c44b14,f5d1c5e5e4a5ae0f |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.