Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC841BE053A02ABA419787E8B6317357F29B5279EA27D98CF3DC87455BDBC2CCE00590 |
|
CONTENT
ssdeep
|
3072:1eN7r0QmfyUMLbqpKUE7wZtXZeiHPCuuUZs5RwL4ZujVgub5tIZ/rvLfqLLaZtm9:1eN7r0QmfyUMLb6KUJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c403eb73a92c5b53 |
|
VISUAL
aHash
|
fffe20024640f4ff |
|
VISUAL
dHash
|
d3c4e4e6dcd4a402 |
|
VISUAL
wHash
|
fffe30020060f0ff |
|
VISUAL
colorHash
|
07e00000040 |
|
VISUAL
cropResistant
|
23c4e4c6dcc4a402,3ee30e7cf933c303,c020d0d0d0d020c0,e3e1f1d1c9cbc645,0303038101010602,ccf0e18101470d99,d2d8d181071f7ded |
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.