Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DD3DAF24154E860950B93E6DA307324E4BB62BEEFA45BF0E064C370E746CB6F95354A |
|
CONTENT
ssdeep
|
1536:xgplgjsyQBSnUnPnGzjz2Tzwzfozj7zIzy+T2+NPRX+7+92gyiFlLWA+qGZHuneN:cnnfgRnmjZO094pkjvb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3b441dcd354d0dc |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
8c080c4d0040c8c9 |
|
VISUAL
wHash
|
fee7e7e7f7000000 |
|
VISUAL
colorHash
|
17000000e00 |
|
VISUAL
cropResistant
|
940808040c0c0c00,4020c8c92dd1c8c8 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)