Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C363BA23D3A34916517AD1D8B1AB57152682478DD7070FB0A3EDA3BE7DCEC723A122D8 |
|
CONTENT
ssdeep
|
1536:6eerEQeeheA0eAAujNeKeAmeDeA6eceAKeAVQroIQeFEAAHebtAAU4SZeleeYAA0:IWzOIXBJtPA2JHJ32Jm42JHJglJ+2JXn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f16e6330ccc992cd |
|
VISUAL
aHash
|
c3c3fffbc3c3cbff |
|
VISUAL
dHash
|
0f0ff2a28a9e9bd8 |
|
VISUAL
wHash
|
8181fbc3c3c3c1cf |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0f0ff2a28a9e9bd8,9cd9d0848a968c0c,8c8c8cd83acc882a,cecbd858696b3121,65ce2d2636337765 |
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.