Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4425133A600DD2E4D5B518CF2C49288525EC349FB3249C6A270A1FF7BC5DF129A93AD |
|
CONTENT
ssdeep
|
192:KYcscschFOwQP8vJfxc5Ih1McnthWeNWbQc7n7F777E7c6HLfMmUU8VCoj6:dcscschF9QU05IhvA6HLfMmUFCoj6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3754c0a75324cdd |
|
VISUAL
aHash
|
00ffffe7ff002dff |
|
VISUAL
dHash
|
a2ce184d08694900 |
|
VISUAL
wHash
|
00e7efe7e70000fe |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
ce184d4d00494900,2020a0a0400010ca,010125486c6c1248 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)