Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EC2723050016A3B02CBA2E4A6317F5AA3E1C385CB635B8623F9C75D5FCBD46DC6A5B4 |
|
CONTENT
ssdeep
|
384:voN55u0AaP6SqzNZDRIzDQE+YDqoUrQZLaJ4j4lft:vXaP6SqzNZDRIzDQE+DAW46F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb409fba22aeb94a |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
3bf0c2cc891b7a62 |
|
VISUAL
wHash
|
0110306060ffffff |
|
VISUAL
colorHash
|
33418000000 |
|
VISUAL
cropResistant
|
433b1b2338686202,7351f0d1c4ccc989 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.