Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC92A734314456BF014347A1ABA3E78AB3958344C73BC65982F60379FBCED62CCA5B69 |
|
CONTENT
ssdeep
|
192:TKd54WUqxBxTx4mJiAM8eaPBpSGuRzUSQzO0bh+Jha3IIwZIA4D8HB6KSrjMwQcy:TKAqtTiY5eaPVh2DIkIPDUB6Keo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9232696de6e50cf4 |
|
VISUAL
aHash
|
010f1e3e3e1870f0 |
|
VISUAL
dHash
|
f99dfcec6c61e2c3 |
|
VISUAL
wHash
|
010f1e3f3e3878f8 |
|
VISUAL
colorHash
|
32c40001000 |
|
VISUAL
cropResistant
|
c29ab2ce3a8aa2ba,b65216561672b2b7,f99dfcec6c61e2c3 |
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 118 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)