Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F36319895451602A473740F388BB1FC9B7391C2FF92905E194B887E6B3AC8F5316BB4B |
|
CONTENT
ssdeep
|
768:eyWuP/u/WfFCgWsyu5bNwtKX8UPYiEmhDzdeyO7nhuaQISlY1bAAtXUL7QlCqWLd:mAB3CvyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a5528d58b5dac75 |
|
VISUAL
aHash
|
0000003c3c3e0001 |
|
VISUAL
dHash
|
00003469e8d40a11 |
|
VISUAL
wHash
|
0c0c0c3c7f7f0005 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
686b98d3ae047646,5a4a66b426a5b535,00003469e8d40a11 |
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 470 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)