Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172D33A703258767E557387E6A0EA3322737D421AD41F4920F3ADD5BA2699C4AE433FC8 |
|
CONTENT
ssdeep
|
1536:8ag1w4g1wLlTh6zn5buhURU37WctImvq+lFnImvnUM/SrzKPTTxhxN90zVhAQtGm:rAw4Awr6uZLhrVCBSXkXMA2i9nYC4aX3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2926d6d323e1ec1 |
|
VISUAL
aHash
|
187c7e2c64000060 |
|
VISUAL
dHash
|
79c0edcdc848c8c0 |
|
VISUAL
wHash
|
bf7e7e7e6c200060 |
|
VISUAL
colorHash
|
38010000c00 |
|
VISUAL
cropResistant
|
79c0edcdc848c8c0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)