Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180C23F387110E87B01D7AAE4B5A1AB2D53FC8788D513499FF1E5C3E72B57C2CCA66160 |
|
CONTENT
ssdeep
|
384:C0f9AJc3JTX5H39W7kxxkxaX41nNzTx31B09v4PlAx2:C0f9n3JTX5H3Yexev1N31B09v4PlAx2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
975ae829c3d21cad |
|
VISUAL
aHash
|
3d003c3c2000ffff |
|
VISUAL
dHash
|
69f2f4c0d4fc08c8 |
|
VISUAL
wHash
|
fd003c3c0800ffff |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
2001292b2901fef8,1692faca32d8f2b3,f2e0e6e6b4d47151,700c4d0c08000808,f8f9f4e0c4d4d4fc,0000203232100000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.