Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAE409F99364D3AC59CBC7FCDF3760A4622EA0DDA0E5825097ADCAA455C39D8F20F850 |
|
CONTENT
ssdeep
|
12288:Ni6/5i1awieQDUlex/1dbK4bKUljHKlVznL2qQ+q:NZebq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9dc86672c899cb66 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
314c323232327468 |
|
VISUAL
wHash
|
00bf9b9b9b9b8f00 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
314c32323232324c,00104c4c04000000,4b27787970306060,0aad3554a8535b80,ccce2e8511110106,00100cb2b2300810,1ac5f53373534820,65274c3858707060,00000000004c0c10 |
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.