Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A333AE93851F5125BB340E360AF2A97B33E241B680C99B0A150DEE975FC069507BFDE |
|
CONTENT
ssdeep
|
768:kyWu/WuyZPL/ubs/KX8UkubYRpSxHyOzxHRBaW/Sy3sIWj8zZs8LMRZEdDxxULfl:dEyyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f83d12fe183c768 |
|
VISUAL
aHash
|
3f1f3f3f013f031f |
|
VISUAL
dHash
|
c071e173636163e2 |
|
VISUAL
wHash
|
3f1f171f013f011e |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
c071e173636163e2 |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.