Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110235B726732B4A883DB91DEE7382D56B2D6489DF8C74450F1C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8Q4jDawGM5BtwhM5B2qN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAz5W:aq+EsZ/8zjDawGM5BtwhM5BvN2/y9dGV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebc0d0c5959595b5 |
|
VISUAL
aHash
|
fd81818181818181 |
|
VISUAL
dHash
|
5171494149414145 |
|
VISUAL
wHash
|
fff98181a1a181bd |
|
VISUAL
colorHash
|
39007000000 |
|
VISUAL
cropResistant
|
5171494149414145,3030ccc4c8c090e4 |
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.