Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBB1B731108FE123527582E4C39F7F0BF2C68189CB27B58784E86F955EC2D68EC51D19 |
|
CONTENT
ssdeep
|
96:ScsY+U/chSZgvDmajuRagxIwEBukYzrkgel7kQu8+5SO:ScsBwZADmajGxIwywvelgQY5SO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5b7c7626c683899 |
|
VISUAL
aHash
|
007e1e1064007c7c |
|
VISUAL
dHash
|
4dcc70b3ccc6c0d4 |
|
VISUAL
wHash
|
017e1e187e407e7e |
|
VISUAL
colorHash
|
30602000000 |
|
VISUAL
cropResistant
|
c1cfb8b3b9b81037,d8f36fdf9e19337b,4dcc70b3ccc6c0d4 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.