Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EB2D5B1A2856A72469343F1E5A6470BA6F1D784F9230E52E3FDC32D47C4E50EE132A2 |
|
CONTENT
ssdeep
|
384:TSSNZIr6uQmclNCrVG7T+sC1/dSuRN4Ik2sr7Dr6gmSSSr38646hEwWIZjrLB8hl:TSSNZIr6uQmclNCrVG7T+sC1/dSuRN4k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c43c3a962d1cf3 |
|
VISUAL
aHash
|
06707074742c2060 |
|
VISUAL
dHash
|
94c0c4c9cdc9cac6 |
|
VISUAL
wHash
|
06f0fc7c7c7c6860 |
|
VISUAL
colorHash
|
300020001c0 |
|
VISUAL
cropResistant
|
4943d20c656bcdf5,94c0c4c9cdc9cac6 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)