Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153639A23D3B30916517AD1D9F1AB57152682438DD7070FA0A3EDA7BE7ECEC723A11298 |
|
CONTENT
ssdeep
|
1536:Beerwree7eA0eAAqaheKeAmeDeA6eceAKeAiYwOeNEAAfeztAAU4SQ9eeYAA9Se/:/0tOIXBJtPABJtPS2JmWBJtPtlJ+2JMZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94c346932cf96c3 |
|
VISUAL
aHash
|
c3c3fffbebfbebc7 |
|
VISUAL
dHash
|
3737e3d2dad29b8c |
|
VISUAL
wHash
|
0181f96b4b6bc9c7 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
3737e3d2dad29b8c,d898d1e9d0a48896,e985a5615771e59d,3399899f5b5b1b4f,2bebc9f92d2d250d,cecbd858696b3121,9597a36894e0e090,ceb2b6b1b1b3b3b1 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.