Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4234A726722B8A843DB91DEAB382D55B2D1489DF8CB4514F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G8O4ADawQMqBqMw6MqBqFqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAo:a6+EsZ/85ADawQMqBZw6MqBRN2/y9dGQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6196613cc7869a |
|
VISUAL
aHash
|
c3c3bf818183bf9f |
|
VISUAL
dHash
|
0e0f65273f2f2121 |
|
VISUAL
wHash
|
c3c3bd8181819f9f |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
0e0f65273f2f2121 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.