Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD8309A43A59F5A65AF3439310DF1503B378162B140D4D606350ECAEB6BCC9FA0A7FDA |
|
CONTENT
ssdeep
|
1536:hTVq53QlHxh8N6g8XXhjaPnQWT+960uJ+pI2:hTj/mN6ZXt1967+pJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec211e8b1e61f8cb |
|
VISUAL
aHash
|
0303c3c3fbffff9f |
|
VISUAL
dHash
|
1e96168723232426 |
|
VISUAL
wHash
|
0000c0c0f9f9fb93 |
|
VISUAL
colorHash
|
064000000c0 |
|
VISUAL
cropResistant
|
1e96168723232426,cf4d4d4c09098989,a484c48ce4e5c2d2 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.