Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3F130F1D150DC3B435285D9F7B96B0BB691C346CB47064193F883ABABDAD60CF21689 |
|
CONTENT
ssdeep
|
96:TkGnbzD71tDlt8v67McddttItvwvFWeVXFHFT9etX6X/b+toOtbEf2J:QGnbzD715lt8iIGdnItYzt40X6qOhEfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0e565b01acf539a |
|
VISUAL
aHash
|
c3c3ffffffc7ff00 |
|
VISUAL
dHash
|
96960036311e1669 |
|
VISUAL
wHash
|
03030f0f04000300 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
16962002b6189606,2020a0a051caca10,01215d4c6c134900,0000000000000000 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)