Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F234B726332B86843DB92EEF7382D56B2D5489DF8CB4450F5C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aJ+EsZx8/G8i4gDatIsM7BitVM7By7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDva:aJ+EsZ/81gDatIsM7BitVM7By7UXx+yB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3e87c3c3913838 |
|
VISUAL
aHash
|
3f838391f1ffffff |
|
VISUAL
dHash
|
69353735210c0000 |
|
VISUAL
wHash
|
1f01008080ffffff |
|
VISUAL
colorHash
|
07003200080 |
|
VISUAL
cropResistant
|
69353735210c0000 |
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.