Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D53D8201082AE2F2BE352E06760EA49A74AF354D31BDB4953FC824E7BDFD51EC155B8 |
|
CONTENT
ssdeep
|
768:OlVzy5l0vgQl0X/7Ke0Tl089iIfWiLTCl0TMKY9:OlU0v30X/S0GV+e80ID |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b346b9bc1498ce96 |
|
VISUAL
aHash
|
0020240606ff8f8f |
|
VISUAL
dHash
|
accdcccccc3b1818 |
|
VISUAL
wHash
|
0464740606ffcfcf |
|
VISUAL
colorHash
|
30400088001 |
|
VISUAL
cropResistant
|
78789c736b696977,accdcccccc3b1818 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)