Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2429571F000A9326977C2DAF9E0570AA383DB4AD64306D6C6F0837D6FCADB6EC91155 |
|
CONTENT
ssdeep
|
192:gMkB9TrR43kJo0u/laVOzB+DDEuUlt6AW9Bg:jwo0u/8Vs+fEuUWAWQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cecc33cc33ce3330 |
|
VISUAL
aHash
|
18383c3c3c3c3c0c |
|
VISUAL
dHash
|
7171616161616119 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c0c |
|
VISUAL
colorHash
|
39038000000 |
|
VISUAL
cropResistant
|
1333135256dfdd57,3a9b80205c204828,7171616161616119 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.