Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C22324203A5099AB41CB99E4E572573961FD8788C513999CF6B8C3F51FCFC2DCAAB210 |
|
CONTENT
ssdeep
|
768:M9j31B5MKSYouXmA5d480l+swd+fVCsIx/jSUf7O:QlQzA4b+sw4fVCsIxB7O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d887f087f883da86 |
|
VISUAL
aHash
|
ff003c18100000c0 |
|
VISUAL
dHash
|
4d967171b270d805 |
|
VISUAL
wHash
|
ff083c3c3c3c3cc1 |
|
VISUAL
colorHash
|
30001000680 |
|
VISUAL
cropResistant
|
0245554d4d554501,e0092935302020c0,16717132b058d025 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.