Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7B20923E0C0252DD2434395BF2137BB85BA569CAB614110CBFA4297A7A5CF8C9773E5 |
|
CONTENT
ssdeep
|
384:sab4xtsGhWz75D59DE66JW8NdYylQNJvnHXabeHfG:sab4xtsGhWH5F9DE6MfNdYXDHKbl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c7e438383833c7 |
|
VISUAL
aHash
|
04343c3c34007c7c |
|
VISUAL
dHash
|
dcc4c868c428c0c0 |
|
VISUAL
wHash
|
447c7c3e7c007c7c |
|
VISUAL
colorHash
|
30000040011 |
|
VISUAL
cropResistant
|
d28e8ecccb59e0f0,dcc4c868c428c0c0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.