Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DA272B2624AD837135ACFCD0A743B0EB0838197C54B860763FA57DDABC9E91ED40679 |
|
CONTENT
ssdeep
|
384:k9OSJvdII/enUn4EsePz4SJqhIIVenUn47tnRV/i1qzNIpJ:k9lvdIIpzTqhIIKpz+J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b0478744df7db0 |
|
VISUAL
aHash
|
ff47c3df5fffff00 |
|
VISUAL
dHash
|
f09f9f979e694126 |
|
VISUAL
wHash
|
fe00c0c147ffff00 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
f09f9f979f6d4926,000139c5a5290100 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)