Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7235B726332B8B843DB92DEF7382E45B2C2589EE9C74554F5C55A8D23C3C8061977B4 |
|
CONTENT
ssdeep
|
768:a8+EsZx8/G8MT44DawzMIB0wTMIBqUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:a8+EsZ/8M84DawzMIB0wTMIBqUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb9391b99d85c1c1 |
|
VISUAL
aHash
|
8f85818181818181 |
|
VISUAL
dHash
|
1979496959455d5d |
|
VISUAL
wHash
|
ff8dad91818189b9 |
|
VISUAL
colorHash
|
3a200030000 |
|
VISUAL
cropResistant
|
1979496959455d5d,58ac89a898a4aada |
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.