Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160C2B631B100263F129BC3C9B361B72EE2E39249EB46181552FD879D4FE7E94CA1352E |
|
CONTENT
ssdeep
|
768:3SCy5N08O3qiZXlAS2Sf1/W77sOy2+y9BH4crIe:YO3hZ7U77sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363b53acc2c94cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c2c0e9e99d00 |
|
VISUAL
wHash
|
80ef3010340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0e49cae0c0e9e909 |
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)