Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183D2E7A512082F3D652383D5F7A8F738509DD2DAD21A522CF6AD12B513C6CD9F82B7C8 |
|
CONTENT
ssdeep
|
384:wxwSiU4HKk1UpcZA9a39AFLnGnmC93qFEbEJX+8Q2NjaNcFK:wNB4H56p+Ge9AFLGnmC96mAB7QkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
832355b85523d5be |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ddcfcfcf36342f02 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
c480800e268080f4,cf3039442e2a152a,ddffdfcfe7cfcfbf |
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.