Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D425233A500DC298E9B56CCF6C09989505DC346FB3248CAB1A4D1BF7BC5DF069A87AD |
|
CONTENT
ssdeep
|
192:xR3JodZM+/p5kUCRqBMaOskMcnthWeNWbHPmfMmUU8VCooTDI:SZM+/p5rC0SaOsDPmfMmUFCooTs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb386869696c3c3a |
|
VISUAL
aHash
|
81bf9fffefffffff |
|
VISUAL
dHash
|
2b503b1818080000 |
|
VISUAL
wHash
|
810703c307070d0c |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2b503b1818080000,0080004101010000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.