Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1C34421C6A41333D205078AE7EB7756679BC1C7CC92BCF8A1608174DBBAD891C77DA2 |
|
CONTENT
ssdeep
|
3072:wKKJrjylK2E6IOZuagKI3ImJS2wgIYLQICeIkPksuGIyIhuBnho1Z:/KNQ5I9f3N21Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f916a7b0c08e6733 |
|
VISUAL
aHash
|
ff00008840cffffb |
|
VISUAL
dHash
|
8f3131b1989c3213 |
|
VISUAL
wHash
|
ff00800840cffffb |
|
VISUAL
colorHash
|
0e401008040 |
|
VISUAL
cropResistant
|
10024f2b106a9191,a636723869f4f251,3131b1989c021333,002090d0d0d02040,b1313131b191989d,9f8d0d8c8f232260 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.