Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD63A923D7A30916517AD1D8F1AB57152682478DD7070FA0A3EDA3BE7ECEC723A112D8 |
|
CONTENT
ssdeep
|
1536:CeerCoee7eA0eAAqaheKeAmeDeA6eceAKeAqIwOeNEAAfeztAAU4SQ9eeYAA9Set:w3tOIXBJtPABJtPS2JmWBJtPtlJ+2JGF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e166366931cc96d9 |
|
VISUAL
aHash
|
c1c1ffffebfbebc7 |
|
VISUAL
dHash
|
0f0ff1dadad29b8d |
|
VISUAL
wHash
|
01017f6bcbeb4947 |
|
VISUAL
colorHash
|
07000031000 |
|
VISUAL
cropResistant
|
0f0ff1dadad29b8d,9cd9d0848a968c0c,d898d1e9d0a48896,8c8c8cd83acc882a,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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.