Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CD392D55618038CA15BCABCFF2FFE05131FB1AABA558680294EC26895CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:uc0RQ7Hm7OzYVaheqwTxVFhzlFsR8MLqczXFsR8MLqcMx0:90RQ7HUNaodFhMar |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc46c9093c792 |
|
VISUAL
aHash
|
ff8181818181ffff |
|
VISUAL
dHash
|
233b1b1b3b2b0f14 |
|
VISUAL
wHash
|
ff8181818181e7ff |
|
VISUAL
colorHash
|
174010000c0 |
|
VISUAL
cropResistant
|
233b1b1b3b2b0f14,64d4808282828180,a8fc989a981ccaca |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.