Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149D295727114263B129BC3CAB751F75E92E75288E745080A53FD836D0BE7EA0DE3352A |
|
CONTENT
ssdeep
|
768:BSzy5NVcp01oa064XU5bIARWeLQf7sOy2+y9BH4crIe:stNARx87sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c345c53a9239b9b9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c0e3c3c8cd098b00 |
|
VISUAL
wHash
|
40ff70300401ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8e3c3c2eccd090b |
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.
Pages with identical visual appearance (based on perceptual hash)