Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B33A736A1802B7B03C382D17BA16758F3804443DE656BA4E2FD834DF396DB6DA32794 |
|
CONTENT
ssdeep
|
1536:CsVAKDLQX3OuTEzgIMUsYsKBAXjNV/ZEcus8qxl25ZGjTs7K9zUvM29ju0Te9XTN:CsFDy3OuTEzgIMUsYsKB+jNV/ZEcubq3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b09c69c738b863 |
|
VISUAL
aHash
|
c37c7e707058003e |
|
VISUAL
dHash
|
92c492c8c9b05064 |
|
VISUAL
wHash
|
c3fefe40f078003e |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
2d5d555562674545,92c492c8c9b05064 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)