Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EA37A33411935274437C6D530A55B3BD2E69A4FFAA70A010EECD7FA2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:pSZutLz4NP/y9svbliCdmf4jSRFtPbuCa2oG2AESi:RmAzQjB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f83ab129c747 |
|
VISUAL
aHash
|
00702000000000ff |
|
VISUAL
dHash
|
18c0c0c8c8ccd7b6 |
|
VISUAL
wHash
|
40fcf8203c3703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
00c0c11030808000,18c8c0c8c8cccd17 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.