Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EC28632A100273B119783CAB771B72EA2A3D34ADB4A191553FD935E5BE7E90C91343A |
|
CONTENT
ssdeep
|
768:RSCy5N5QsmeIAXc8OG7vjpJ7sOy2+y9BH4c1Ie:LsmGnD7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ac42cd6c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c59d2d0f9f9bb00 |
|
VISUAL
wHash
|
002f38180c0fffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c595af0d0f9f93d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)