Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195A37933411975274437C6D430B95B3BE2EA994FFDA70A010EECD7EA6BFAC90744A11A |
|
CONTENT
ssdeep
|
1536:iQacOd9Lz4NP/y9svbliCdwRJLJSgl3NwFtPbuCa2xG2AESi:sbmA9Jll3O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322d53eb52bb443 |
|
VISUAL
aHash
|
00606000000020ff |
|
VISUAL
dHash
|
9cc4c3cbc82cc3d2 |
|
VISUAL
wHash
|
04fff361240078ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
c8c88081323280a0,dcccc3cbc9cc24c2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.