Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187C1DFB050119D3B05FBA8D866B52F1A91D6D346CE33128BB7ED87E90BCFD0ACE52650 |
|
CONTENT
ssdeep
|
96:BxgTtu9tui8895GZV6UP8UY8o8YiJY/lPBPP08lTGep:BxgTc9tizl4q8lVp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83890cbc7c7c369 |
|
VISUAL
aHash
|
ffc3c3e7fbfbffff |
|
VISUAL
dHash
|
3ab69e0e12120002 |
|
VISUAL
wHash
|
00000020c3cbffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3ab69e0e12120002,78c4c438a44cd292 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.