Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115E2B87261407B3F01A392CAB290A76E63E2838FD34A051653FD836D4BE3E51E91775A |
|
CONTENT
ssdeep
|
768:4Qe/3Y3GHfU4V+ApanKcaA7sOy2+y9BH4crIe:6YwLiV7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d341f83aad6992c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
988cc0c8cc0cc300 |
|
VISUAL
wHash
|
006478302e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04308e86968e2004,0080800058988000,9888c4c0c8cc3cc3 |
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.