Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E326273A600DD2E8D9B56CCF2C49688521ED345FB3148CAB1A091BF7BC4DF068A53AD |
|
CONTENT
ssdeep
|
192:eu3JGYcCcLchsf+ceNnxm1McnthWeNWb5jMIfMmUU8VCoCs:PcCcLchsf+zjMIfMmUFCoCs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccccc23cccc |
|
VISUAL
aHash
|
ffc74747efffffff |
|
VISUAL
dHash
|
0c9d9d8d0c800c00 |
|
VISUAL
wHash
|
dc040404073f3d3c |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0c9d9d8d0c800c00,dcf0b3dcf0e9fcfc |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.