Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FE2B53171107E3B428787CDB361B72AA2F78345D69A048992FD83BD0FA3D55CA3365A |
|
CONTENT
ssdeep
|
768:5S5y5NFgpmx2sdH8UuwlQmtjfz6SsA7sOy2+y9BH4crIe:eDC8ngjQA7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d928b |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
11094b63cd0c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffffe,0080800078908000,120d4b6b4bdd5c33 |
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)