Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8D2A572A010573F12A7C3CCB361FB6EA2D3824ED68A081653FD876E1BE6E90DD13556 |
|
CONTENT
ssdeep
|
768:1SXy5NbPtPwYDv1jE/c3Tq11uFCobtNw7sOy2+y9BH4cLIe:7tPwYDv1jXCofw7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d1689482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49e3c3cc4cb200 |
|
VISUAL
wHash
|
80ed71300406ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
408080106c888000,1409c3e3c3cccc36 |
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)