Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD21FE5420BA4CBEA0C381B97AA1BE4C72C4C764C767674865E8D36D7ECBC51DC48168 |
|
CONTENT
ssdeep
|
24:hR/CM5eMZGvZJp87IK8mJPfqb0ByiwNElE0BHhExgB5JAQV3H:TVlGvZJsIlmJ6bdaa3x4CQd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3998c6633996666 |
|
VISUAL
aHash
|
ffffe7e7e7e7ffff |
|
VISUAL
dHash
|
0c004d4d4d4d000c |
|
VISUAL
wHash
|
0c0c040420203030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c004d4d4d4d000c,00152a8ab0b20db0,b249408cb2b20800 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|