Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED221FF0D414ED37475282C5A7B27B1F77A2C349CB420D54A3F893AA57CACA1CA225ED |
|
CONTENT
ssdeep
|
96:Tkf1h/zYFf7MS0uSTIt/8v67qL4/+5wAzA04A+VhF1+XZUuVhFG+XDU3/En5Umlr:Qfz/zYFfhKMx8iz+5mVk3VXi6UmlI8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac6e66e39191949d |
|
VISUAL
aHash
|
f1119f0f1bffff7f |
|
VISUAL
dHash
|
c727341e323800d0 |
|
VISUAL
wHash
|
f010060e0a9fff3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c727341e323800d0,71e0cccc8cd4e071,204cb2b218080000,483632696972b248 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)