Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9D2D531E000373F52A7D3C9B751F72AA6E39289E646190552F88B6D4BEBD50DE2342F |
|
CONTENT
ssdeep
|
768:S9Sky5NNof6P2zQ+JrETmQK+ob7sOy2+y9BH4c1Ie:oQP+aqPb7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343fd389929cd82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98cccccacc0c9100 |
|
VISUAL
wHash
|
00ee7c600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d0ccccc0c8cc0c02 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.