Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168833BF4BD8CF96205EB4063B04FB547B27A180FF50E4A60B54CCAC6A3D946B5167BE1 |
|
CONTENT
ssdeep
|
1536:N1VJz/d2PMv1ZvMy/B4BETdllUzzQ2N0msQw:Nnuk99RB4uhGVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9392b03c6d6c6c97 |
|
VISUAL
aHash
|
0c3c3c203c0c3c3c |
|
VISUAL
dHash
|
dc68e8c4e8f8d8c0 |
|
VISUAL
wHash
|
0e3e3e203e0c3e7e |
|
VISUAL
colorHash
|
30000008041 |
|
VISUAL
cropResistant
|
71f2f1d192cabc29,c8cc242626262696,dc68e8c4e8f8d8c0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)