Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130234A726332B86883DB91DEF7382D56B2D25499F8C74414F5C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G8B4nDawzMJBlwMMJBHUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:al+EsZ/8ynDawzMJBlwMMJBHUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee3a91907a91916f |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d61717171080000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e001e00008 |
|
VISUAL
cropResistant
|
4d61717171080000,8e8e61f0b2b0b2b2 |
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.