Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101234AB26722B8A843DB91EEF73C2D55B2D6489DF8C74414F5C95A8E23C3C812197BB4 |
|
CONTENT
ssdeep
|
768:a1o1q+EsZx8/G8C4wDawjMZBewTMZBvqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvK/:a1o1q+EsZ/8VwDawjMZBewTMZBCN2/yF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c6cc392c3c393 |
|
VISUAL
aHash
|
818181ffffffffff |
|
VISUAL
dHash
|
2b332b3771020000 |
|
VISUAL
wHash
|
8101000081ffffff |
|
VISUAL
colorHash
|
06003600000 |
|
VISUAL
cropResistant
|
2b332b3771020000,17e9699623c8c827 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.