Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FB50A13E3571509B27E98D4F45B7BA23D440A4AE2494AB4766DCB3ABCCF17332207DA |
|
CONTENT
ssdeep
|
6144:Ft1RklQ4vJUSbM1F1TGrTiaDsrp9hzLPSl55v8vRUKOT23lzMnY99GoATm7vsDly:PSaGBmvrM4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a719b20718b75 |
|
VISUAL
aHash
|
efffe7c3e7ffc3c3 |
|
VISUAL
dHash
|
96868e8e0c0c8e96 |
|
VISUAL
wHash
|
c3c3c3c3c3e7c2c2 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
96868e8e0c0c8e96,91c9ad525263abad |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.