Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11524B6797091B537063FA1CAE8D01B6960F2EA3DCD6B1844F6FC43BC27D6C99B282549 |
|
CONTENT
ssdeep
|
3072:Sl00w2krMHXfrLHa/nYmbSVyc0sWN8hon0K3U0PB1CZpispeGhZmyKdFYJrDKBOG:SbkwHGnRnJEXTw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9ceb39863496c32 |
|
VISUAL
aHash
|
e3c3c3c3c7cbcfc7 |
|
VISUAL
dHash
|
060607131e161e1e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07202000040 |
|
VISUAL
cropResistant
|
060607131e161e1e |
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 536 techniques to evade detection by security scanners and make reverse engineering more difficult.