Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194D13031A184E83B01C356D8EBF56B1AABC6C364CB6B1B0531FC975E5FC6C81CE42965 |
|
CONTENT
ssdeep
|
96:PU7kqNmeD6YOPdHLOc77rnHsiObfgcEPCYniMaCpBRYqj+e0yrwzA7:NBPFLOGHsXbfgcEP/nNvPj+e517 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b5349bcacb8e3924 |
|
VISUAL
aHash
|
ff0000ffffffffff |
|
VISUAL
dHash
|
229e962f0c0c0c1c |
|
VISUAL
wHash
|
bf000000e7e7efe7 |
|
VISUAL
colorHash
|
07e00000040 |
|
VISUAL
cropResistant
|
229e962f0c0c0c1c,67677f69f9f9fcb6,9b13153135353571,131b0f0545410100 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)