Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188D154A2D05499370B6241C1FBB63F6FB6E1C245CB074D9063F4036E9BCBEA2CA22559 |
|
CONTENT
ssdeep
|
96:TKqYDfVxgz8h7MSxXtVST3OhUSPRttkgwl/qTtmMTBSOOtmM4BSfQ8GGAT431:EDNxgz8hhxqw/BwyYMFSOOYM4BS48U8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0dec3c787f62070 |
|
VISUAL
aHash
|
ffcfc3c3c3c3c3c3 |
|
VISUAL
dHash
|
4996969696961e96 |
|
VISUAL
wHash
|
e7c3c3c3c3c3c303 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
4996969696961e96,89a4b2aaadb5a1a9,b5856db49a5bb1b5,2aaa8c8e2a732a3a,fcfee37b6333f38f,4b6bb3739bcdcccc |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.