Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A25F319211EE3751938AD9E2F96B0E32E2C34EDA121546BBF847A91FD7CC0EB0D255 |
|
CONTENT
ssdeep
|
384:TG562RSTRjlbhb9rGS3+DkCN381uAXAKV/PR3jby1Xcjj2WOQ3wDzwD0wD1wDuwU:TORSTRjlbhb9rGS3+RN38PA6300jaQg8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9739397969696161 |
|
VISUAL
aHash
|
00ff7e7e7e7e7e7e |
|
VISUAL
dHash
|
c8c0d4c4c4c4c4c4 |
|
VISUAL
wHash
|
003e3e3e3c3c3c3c |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
64c4c4c4c4c4c4c4,002092d8d8862000 |
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.