Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3B56C31A2111DA1A679CDC0B39FDB643109275A9502CC7C67FA8A36ECCDD6613F83B9 |
|
CONTENT
ssdeep
|
6144:q7Md2AOy79e4wiiJQ0sFDDoE5bjWflCGNi+vVOwvE3rMr:t3rMr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a759b2071a275 |
|
VISUAL
aHash
|
efffc3c3e7ffc3c3 |
|
VISUAL
dHash
|
96968e8e8e4c9696 |
|
VISUAL
wHash
|
c3c3c3c3c3e7c2c2 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
96968e8e8e4c9696,565656291b56565f,93c9ad52d263abad |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)