Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17133E6716311B35A1C330F74F34E746AC1EE9345FAD6A86CB219931174D213AC39AEBA |
|
CONTENT
ssdeep
|
1536:2mY0wA3wnH+pRO6o3E4tKTESTqDZ7U1c/I7LBu:yj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f1718e8e9e139a8c |
|
VISUAL
aHash
|
ffc3c3c3e3ffffff |
|
VISUAL
dHash
|
19969a8a0e000a60 |
|
VISUAL
wHash
|
00c3c3c3c0fcfc9c |
|
VISUAL
colorHash
|
0760a000000 |
|
VISUAL
cropResistant
|
19969a8a0e000a60,40606ccc8c8ccc6c |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)