Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FE27432A144BA3B02D393D9B721A76FA2D3C28DDB46061563FD835C0BD6E50DE6361A |
|
CONTENT
ssdeep
|
768:Weaq95Ckws040T/T90ie7sOy2+y9BH4crIe:nZT8Jve7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247f412b93898ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
ccccc0c8cccc0d00 |
|
VISUAL
wHash
|
0cfc70000c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880880458988000,dcccc0c0c8eccc2c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)