Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14872EFB17D036826224F46CF5267260E61C1DFCCEA5371D9A8F0D3281EF9C61BBE2656 |
|
CONTENT
ssdeep
|
192:cD49giS28/O7a1f+SlNAItScqKeFCASJke4/51FeJ33FfeYCV:cD497SzYF+4MJYN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97124a5a35979acb |
|
VISUAL
aHash
|
0c000f0767fffffb |
|
VISUAL
dHash
|
d8f5fdcece314363 |
|
VISUAL
wHash
|
04000f0727fff9f9 |
|
VISUAL
colorHash
|
08000006000 |
|
VISUAL
cropResistant
|
648e9cdcecfcf43c,e6c49494961b9bf6,e1f27824e6c999d8,d8f5fdcece314363 |
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 272 techniques to evade detection by security scanners and make reverse engineering more difficult.