Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AE263725150AB3B02E7C3EAB721772EA2D3C249DB83061643FC835D0BD6E50DE63926 |
|
CONTENT
ssdeep
|
384:feaZobDIbAe1s1d10UwwBpvbks1LJfN7gtDfHs4d6b+HgmvrIYsOy2+y9BH4cCUl:feaZojB2GHZ5Hc7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9243fd12cd39b0e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dcccc8c8cccc8d00 |
|
VISUAL
wHash
|
04fc60201c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3cdcdcdc3c3c3,0c80880458988000,dcccc8c8c8eccc0d |
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.