Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1E2C731A1002A3F51A7C3C9B752F32EA2E3924DD7460905A3FD47AD8BE6EC4DD1725A |
|
CONTENT
ssdeep
|
384:7Ly5NQpFW2rkcAeLwCtNjiVWUKWsXrMhWSG0MKBCeYYNIYsOy2+y9BH4ciUIe:7Ly5NQpFaDkK4er7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36ff818e913c586 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c47c9c9c048fc00 |
|
VISUAL
wHash
|
00e17d20302cffff |
|
VISUAL
colorHash
|
39c00008200 |
|
VISUAL
cropResistant
|
0000004d4d300800,c400800258988000,5c47c5c9c9e0c8fc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.