Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B13F73108C86F3B61A382C9D315960BD3D58508EA7B8A49F4DAC71E1AC5DDCD86BF9C |
|
CONTENT
ssdeep
|
768:CjIeOX4+3jiPVaEYUEHM2IFYh9O/M8VVTp65ZqnJLDt0VXS94gwH:CjIeqz3joV9YIqh9O/tTwZeui94gwH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416eb4aeb9a9496 |
|
VISUAL
aHash
|
ff0006060604ffff |
|
VISUAL
dHash
|
61ccecccecec191a |
|
VISUAL
wHash
|
ff0006060606ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
0021496161c9014a,96d6e8b094710f8e,30001a1a0f2c3b13,c9ccecccccecece0 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)