Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B234B726722B86883CB91EEF73C2D56B2D6988DF8C74450B5C95ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8kRF4kDatGM7BUtVM7BKUcix+y9dQpUDF1E56ITmHDLBABW8KPqDv6:af+EsZ/8eOkDatGM7BUtVM7BKUXx+y9h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afd391d1d1c491c5 |
|
VISUAL
aHash
|
bd81818181818181 |
|
VISUAL
dHash
|
6969656d49476747 |
|
VISUAL
wHash
|
ffbdb1a1a181a183 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
6969656d49476747,d9c0c3cfc9c7c707 |
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.