Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163736135E169B5FF914352E4EAB37716B19AC94BCF038600A3E093361BBAD959D3B430 |
|
CONTENT
ssdeep
|
768:r1bBbJoW1taz6CQdS2reZxTCvMrGIb302F5IP3Tas:rZoW1QzgAC0rGIb302F5WD/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c7ae153b9122c7 |
|
VISUAL
aHash
|
22707060601e7e01 |
|
VISUAL
dHash
|
cce5c4ccc3b0d015 |
|
VISUAL
wHash
|
76707c74607e7e01 |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
cce5c4ccc3b0d015 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)