Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12632A63A8146EEBB02D693E65F29337F627495D2C8570B87A3F0C78C9ED1D59DC004AA |
|
CONTENT
ssdeep
|
192:x+k2n4Cse8rfqA+f/eE29eD2tsD6Fi87AQk+:xtFCsHrfAf/L29c2q6Fi8M+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83f27474948475d |
|
VISUAL
aHash
|
008fdfdfffffdfff |
|
VISUAL
dHash
|
33383c3030ec3c38 |
|
VISUAL
wHash
|
00078f8fdf078f47 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
33383c3030ec3c38,000340cbcb000313 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)