Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAD43C273244333A859B70F1E99E42D8E734D014231560A4689EEA9C1E64DBAD37FFED |
|
CONTENT
ssdeep
|
12288:OWBSOwQKdfonRBC4zvyJyteJhlyrEqA2M:dBkf0DyJyteJhlnqU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bc6f0d4c417d649 |
|
VISUAL
aHash
|
ff0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
dc5b5b7b3b3a1a9a |
|
VISUAL
wHash
|
7e0f0f0f090f0f0f |
|
VISUAL
colorHash
|
06400000600 |
|
VISUAL
cropResistant
|
dc5b5b7b3b3a1a9a,1b1b9e8d8d0d5181 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)