Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1433385AB41C6EC762F018DF47BE8A719E2835555CEA30F81BCA681FE6944F7EB403449 |
|
CONTENT
ssdeep
|
384:E9JNK88bf6bvs8bxPIKrjf9I28s2fUXn84FuHQlIs6PaKWRfXI28u2w:E9JNAbfEVVPIK/X2fUM4Fkk2PaK+f2w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f50f1fff7308080 |
|
VISUAL
aHash
|
3e1e3e1ebe3e9e3e |
|
VISUAL
dHash
|
587874786468786c |
|
VISUAL
wHash
|
0e0e1e1e3e1e1e3e |
|
VISUAL
colorHash
|
07201008040 |
|
VISUAL
cropResistant
|
587874786468786c |
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 697 techniques to evade detection by security scanners and make reverse engineering more difficult.