Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12063857642866E3F218342E0C36CE36AD7C2D709D7674946EBE8432B22C7DA4ED36574 |
|
CONTENT
ssdeep
|
1536:0T+/6MupUDcR60KFaWUC3c/05ioyv6014x8RQ8hb:6KSs5s/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84183bc376cbcb1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ed193331c37270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
91445692932b4340,38789d9c8c8c8d8f,82a28a969696a882,c53a382327400f0c,968fe9d3932b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)