Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D324233A600CD294EAB92CCF6C09589511DD349FB3148C6B2A491FF7BC5DF069A93AD |
|
CONTENT
ssdeep
|
192:sHa2doqCSRnjrbA2PYbssxgVn2UrXMcnthWeNWbnfMmUU8VCoUr:TqCSRjrLPY4VPIfMmUFCoUr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0608f1fcd1fe070 |
|
VISUAL
aHash
|
00c0c2c2c24604ff |
|
VISUAL
dHash
|
7b9a9e9e9e9c7c98 |
|
VISUAL
wHash
|
01c3c3c7c6c606ff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
9a9e9e9e9c9c7cd8,e8e0f89ac03151c0,7b9e9e9e9e9cfcfc |
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)