Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1820210F0D484ED3B475385D9A7B66B1B7391C349CF070944A3F893ABAFCAC60CA1155A |
|
CONTENT
ssdeep
|
192:QSK3gnbzDJ1U1Ht8iJH0hvYMn6ZffvzzUYYM/Pwda:QSK3aNUN1JH0hwMn6Zf3sZM/Pwda |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b84dc547eb46c4 |
|
VISUAL
aHash
|
ffc7cfcfcfcfcf00 |
|
VISUAL
dHash
|
3b1b3b1b1f1b1be4 |
|
VISUAL
wHash
|
c3c787c7c7c7c300 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
3b1b3b1b1b2f1b1b,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.