Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163C2B735E2006A37519383CAB3A1772E91E7C34ADA81066662FD43AD07D7D44DF7782E |
|
CONTENT
ssdeep
|
384:p9QepLSeIR5fuLdxcYoc3Db+gtRx39+YxTTdcnIYsOy2+y9BH4cCUIe:/QepLo5Qb+eJjTE7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d257dd329129e1c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
18ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30007445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccc4c8c8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)