Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128434DE87941FE13657700E7609F501673BE582B740C09A0F6A8EACB65FA43B206BBD5 |
|
CONTENT
ssdeep
|
768:gT0TQH7YFcUbmgttcKGOYcUUb4jCj2jOjUjgjojojrjqv7j1Jhh822y6IMEEf/vH:/bmgttymqyoUcsngBzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb6d966451161a53 |
|
VISUAL
aHash
|
00fb89c9e985c5ed |
|
VISUAL
dHash
|
86031b1bdb1d0909 |
|
VISUAL
wHash
|
00fbc9c9e185c5ed |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
e0e0c0f0b0e0e3e2,1c383c7c7ce0e4c6,86031b1bdb1d0909 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.