Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A235B726722B8B883DB91EEF73C2D46B2D5589DF8C74410B5C96A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a4+EsZx8/G8cRF4YDatjM7B8tVM7BQwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqR:a4+EsZ/8mOYDatjM7B8tVM7BQwZUXx+L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfd3f0c095d0f094 |
|
VISUAL
aHash
|
9f878f8f9f9f9f83 |
|
VISUAL
dHash
|
397d7d7b61717373 |
|
VISUAL
wHash
|
9f818f8f9d818387 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
397d7d7b61717373 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.