Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191D2DEB19140D9374293E2E25339671AE2B1C355DAA31619BAF8874C1FE3EA1DF53338 |
|
CONTENT
ssdeep
|
768:0NlEGf2rLkjgNHdc7k1BUvDsLxNsZFsW7hy/P8IMbtnU+Fp+LS:2lEGf2rLkjgNHdc7k1BUvDAxNsZFsW7p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee1598aa51a2ff14 |
|
VISUAL
aHash
|
0002664080bdf5f8 |
|
VISUAL
dHash
|
96c6c68607710d92 |
|
VISUAL
wHash
|
0202626080ffffff |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
f9c9fcfcfefffebe,0404020281004040,68c0d0d0a0a08000,96c6c68607710d92 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.