Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139A2F97BD1841D3A02832961FF4236CFD52D514CD275D5A0D9ECD2A377C88B482BB2AD |
|
CONTENT
ssdeep
|
384:Wu9u47uBQbx7UFkorrtOFmtQaUugmCeHB6Aq:Wu9u47uBQbarZ0mmaxgmCe8Aq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16b3e94943173b3 |
|
VISUAL
aHash
|
0110407e7e7e7e7e |
|
VISUAL
dHash
|
1763cbd4c4d4d4d0 |
|
VISUAL
wHash
|
0030605a7e7e7e7e |
|
VISUAL
colorHash
|
10000e00040 |
|
VISUAL
cropResistant
|
00502aa4d4d42900,1763cbd4c4d4d4d0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.