Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDF1EA1080448E6A6196E5E8F7B07A9362D2C251DB073E4472FC872DAFEFD46C8379E5 |
|
CONTENT
ssdeep
|
192:ON8x027jRDlichQ9hVer4gLxjWWr2PJFCvHz:Z025ZichQJertVjWWiR6Hz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89cd63233376d18d |
|
VISUAL
aHash
|
0018181818180000 |
|
VISUAL
dHash
|
d1b3b233b2b233f0 |
|
VISUAL
wHash
|
18395e9c1b5e1b1e |
|
VISUAL
colorHash
|
38000040006 |
|
VISUAL
cropResistant
|
96b6babaaab03231,d1b3b233b2b233f0 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.