Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DD132E0D454DD3B435385D9A7F56B4BB395C345CF02098493F883AB5BDACA0CB22999 |
|
CONTENT
ssdeep
|
96:TkCFk4zHcQWSTNtL9VPNmwcjF1CXHHFhzjeXIHFPKXUX/Ja5R:Qok4zHcORR9KwcA7pXG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131e0c4cc1e1fcf |
|
VISUAL
aHash
|
4f0f0f0fffffffff |
|
VISUAL
dHash
|
9a9a5a5880000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
9a9a5a5880000000,d1d3a19193e1916d |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.