Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1010426DD6130817685474CEB2D32130E20DED10AD81BBFEAEF6A43C36EE6F85551A64B |
|
CONTENT
ssdeep
|
1536:Xi0uzIXfbPHqAmxV7QzIXfbPHqAmxV7U0W0oeR0O:S9wpwjC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6a64d113da760ea |
|
VISUAL
aHash
|
0304e5878f47a581 |
|
VISUAL
dHash
|
b265054c199c4b43 |
|
VISUAL
wHash
|
0385f5878f47e781 |
|
VISUAL
colorHash
|
300000080c0 |
|
VISUAL
cropResistant
|
008966672b734491,9cd8b2b233f7e989,f8f2aa2d5d1a98e0,b265054c199c4b43 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.