Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12863D723F71C893B322B839EA609B752F146A406CB1607D5F2FAC1D923DDFA45262747 |
|
CONTENT
ssdeep
|
1536:pRrbPgXehHKLuoz23uZRm22/5AYrOss9+tBmrM4KYyOXGDX/pSzQWIWRWZOJBFjo:pRJU2++yWtIOCPUVqNK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0438f50f807ebb8 |
|
VISUAL
aHash
|
6c0000c0c000ffff |
|
VISUAL
dHash
|
cc68c98d8ca87a33 |
|
VISUAL
wHash
|
ff0004c0c4c0ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
70dca6b392a6c071,23000b33332b262f,cce068898c8c8968,4458797171613115 |
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 941 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)