Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117943CE053A06ABB419787E4B2717317F29B527DEA23D989F3EC83952BDBC18CD10590 |
|
CONTENT
ssdeep
|
3072:FqsZ2lqMqsCHheI2WRUDT7GZtXZeiHPCuuUZRs+5wL4ZujVgub5tIZwr7LfqLLab:FqaAPJWRUDIUAlFFJJFNVzPfVpZpsnz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
833dc27c8b962c97 |
|
VISUAL
aHash
|
0040000c20007e7e |
|
VISUAL
dHash
|
d4d42ef8d8e2d4d4 |
|
VISUAL
wHash
|
0f7e003c2c107e7f |
|
VISUAL
colorHash
|
31001000480 |
|
VISUAL
cropResistant
|
c9202717232e2080,ce204647230b2e00,cc302860130f2c80,d4d42ef8d8e2d4d4 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.