Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F244C715288123752E702C5B0B33B1B72FAE18EED5B899467F8DFD26BD5CB58432908 |
|
CONTENT
ssdeep
|
3072:bzyjF4gAC6bgBCtCGzHqaSXXIMubGvnaKctSj:bzyjF4gE2DnaivnaKctSj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93b764709bc327c2 |
|
VISUAL
aHash
|
001c2e3f7d042018 |
|
VISUAL
dHash
|
95b4ea6a998ad970 |
|
VISUAL
wHash
|
541e3e3f7f4e2018 |
|
VISUAL
colorHash
|
30400010002 |
|
VISUAL
cropResistant
|
95b4ea6a998ad970 |
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.