Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AB2A5786780197E60CBC2B6F661AF39F299D387DD17A28FD2F8C2250786C40CD92290 |
|
CONTENT
ssdeep
|
768:pyuMIOSXHg5ddhgv1BvvsGcxulXoiYNpF:+ukF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f1e51f841cbc4e2 |
|
VISUAL
aHash
|
9d1c37b5c3e7bf2a |
|
VISUAL
dHash
|
79756d619e865aca |
|
VISUAL
wHash
|
9d1415b1c3e7ab2a |
|
VISUAL
colorHash
|
0700000005a |
|
VISUAL
cropResistant
|
79756d619e865aca |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.