Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145E2A972A1106B3B019392C6B390B75EA3E2474ED74A141667FD832D0FE3E50ED2775A |
|
CONTENT
ssdeep
|
768:bQePWPkyS5uweoeuVOGhaqb2H7sOy2+y9BH4cLIe:vaglNk7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d348f9328d6d94c9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
988cc4c0cc0cc300 |
|
VISUAL
wHash
|
006478302e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,988cccc0c8cc2cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.