Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109F1FDF1D501ED3B471282C5E7B96F4BB690C749CF070641A3F883ABABDAC60CE21599 |
|
CONTENT
ssdeep
|
96:Tk1bzD71tDlt8v67M0ddtllP8fFLqXCHllXSWXVE/JDgtf7ytQ6fkdt7bhJ:Q1bzD715lt8iIOdblP8P7EmV7yeakddn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b643cd364 |
|
VISUAL
aHash
|
fff3f3d3f3ffc3ff |
|
VISUAL
dHash
|
1026262626071700 |
|
VISUAL
wHash
|
dcc0c0c0c38181ff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1026262626071700,6c337170797d7f7f |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.