Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C313C853530016BE1A130385EF48B7DEF7D5409EFBA20A8075DEC2AD6293E25B9716CE |
|
CONTENT
ssdeep
|
768:qebv5HiX1DalSjYq4mG7Z/HegqF9tMKhoxN:q8CX1DalSjomG7RqFnhoxN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b267185d3c33471b |
|
VISUAL
aHash
|
00ffe7c3c3ffcfdf |
|
VISUAL
dHash
|
d488cc0e36ba92b2 |
|
VISUAL
wHash
|
00e7e78383fb83c3 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
d488cc0e36ba92b2 |
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 935 techniques to evade detection by security scanners and make reverse engineering more difficult.