Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9537835C098AA3B02A3D2D09535A72EF3A3C199DF9397D327E9871D5EC2D51CE36260 |
|
CONTENT
ssdeep
|
1536:zW8+ZqmfXwk5fvpxAHIim7KHKsSg2SmicJOmq:zCJbxAHI7KHKsSg2qNmq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce31c635749b6499 |
|
VISUAL
aHash
|
00001800183c3c3c |
|
VISUAL
dHash
|
9611b232b2716969 |
|
VISUAL
wHash
|
0018181818ffffff |
|
VISUAL
colorHash
|
0b007000000 |
|
VISUAL
cropResistant
|
e080a61b1b8080e0,84d8ec78cbc88b8b,9611b232b2716969 |
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.