Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192D382D55618038CA15BCA7DFF2FFE05131FB1AABA1486802A5EC26895CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:p10RQ7HDw7UfQVahHwNOOvyMwlFsR8MLqc7XFsR8MLqcMv:n0RQ7HDelahovyMBim |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec32936d6c92d9c1 |
|
VISUAL
aHash
|
ff83dfd1f1d1ffff |
|
VISUAL
dHash
|
272713272723181e |
|
VISUAL
wHash
|
ff8183818181ffc7 |
|
VISUAL
colorHash
|
07000c08000 |
|
VISUAL
cropResistant
|
272713272723181e,8b81e953538981c2,000094d4c4d00100,6c686866633a6241 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.