Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA6255312112077B249382D0B860ABCA96DDB712DD0AD947A3EDDA573EDFC115EC4BB8 |
|
CONTENT
ssdeep
|
384:qfi18hBkWmclqANm87IM8miqX44mCldJ4RBOkRHIy3u:F1Tcla87ZiqECl4FHIy3u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce9b997431306766 |
|
VISUAL
aHash
|
183c3c1018101000 |
|
VISUAL
dHash
|
7171692969606030 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c18 |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
3cc1d2e0a1e1e179,2511931780a18080,7171692969606030 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.