Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F325133B6008D298D9B65CCF2C49648525ED345FB3148CAA1B091FF7BC4DF169AA3AD |
|
CONTENT
ssdeep
|
192:Yzmo3JAYcQchchkM/Qqcpx0G7roIXMcnthWeNWbojEfMmUU8VCoBnIgmcB:ScQchchkMn5G3fjEfMmUFCoj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333ddccf400cccc |
|
VISUAL
aHash
|
c7074747efffffff |
|
VISUAL
dHash
|
9c1e9c9c0c000800 |
|
VISUAL
wHash
|
44040404c7fffdfc |
|
VISUAL
colorHash
|
07600000018 |
|
VISUAL
cropResistant
|
9c1e9c9c0c000800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.