Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1607361B211466E3F1183C3D18358E75AE382D209C7A7998B97E8C31B67D6DE0DD360B8 |
|
CONTENT
ssdeep
|
1536:ujCksp8DcAH0I4+FWVpyK0/DG4ZDI907xVuz85u:9Y9KoDvnu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
a493ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238c0e,84a3f393c0c8dcd4,4561417971690141,00454d7171414541,14a2eb559b929421 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)