Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE225133A600CD2A499B95CCF6C4A588451EC386FB3058CBA1A491FF7BC5DF065E93AD |
|
CONTENT
ssdeep
|
192:LCnjhdLzebxSx49McnthWeNWbnfMmUU8VCowR:ALzetqfMmUFCoC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c5ccd6525a4e969 |
|
VISUAL
aHash
|
1a18380000ffffff |
|
VISUAL
dHash
|
b2b0b37cd0200000 |
|
VISUAL
wHash
|
581c180000ffffff |
|
VISUAL
colorHash
|
06406000000 |
|
VISUAL
cropResistant
|
b2b228b0b3b22c78,0000000000000000,3533034343135111,647050888c142dba,ac2870fcf0f0f060 |
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)