Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F431AA93D45B5165BA340D2B0AF3A9BB33A241F740C59E17160CBE974F84A9503BFCE |
|
CONTENT
ssdeep
|
768:HyyWuCPWyUNsZuX1CS5/s/u8n+KQDL/vFL1Wf9SN5X8Ufp4iiwuxD3a00yiTpSxM:Hz8J3a+9yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13ac492abc4be6d |
|
VISUAL
aHash
|
ff380000003c7e7a |
|
VISUAL
dHash
|
d0d8c1c0c0f4c6c2 |
|
VISUAL
wHash
|
ff7c2000007e7e7e |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
0000000000000000,a2c0c19d9dc280a2,c536a383a32383a1,d8c0e0c0c0f4c6c2,6f4f4d4d4a4a4a8a |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.