Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104833C64395DF5662AB343A310DF1503B278621B580E4D20A311FDEEB6BCC9B6067FDA |
|
CONTENT
ssdeep
|
1536:NqD6/Zv/lnWR+amxhize6Ir7YxSnGnKLC929:Y+JsR+nwze77JK929 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92e66d71c3c392e1 |
|
VISUAL
aHash
|
00040e3e3e0e0000 |
|
VISUAL
dHash
|
d1acecececfcf8b3 |
|
VISUAL
wHash
|
607e7e7e7e1e0808 |
|
VISUAL
colorHash
|
31600006000 |
|
VISUAL
cropResistant
|
6b6a9e2799b9458c,d1acecececfcf8b3 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.