Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CE10EE0C454ED36435386D9EBB56B0B77A1C388CF030A4553F4836B6FCADA0CA565AA |
|
CONTENT
ssdeep
|
96:TkE57QzD0ieQ8v67MYzKCyt9W3Fc4+XNHFeeXSz/kUM2jCcSQ1R:QE57QzD0k8iIIKCyfWmkzsnM/SQn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b35ccc4ccc4ccc |
|
VISUAL
aHash
|
e7e7e7e7ffffff00 |
|
VISUAL
dHash
|
0c0c0c0c00000000 |
|
VISUAL
wHash
|
e4e4e4e40f0f0000 |
|
VISUAL
colorHash
|
07000618000 |
|
VISUAL
cropResistant
|
0c0c0c0c00000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)