Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1899293B55488A53701D361E2ABB1675BF1E4828AE553970093FD832E0AC3CC9DF07B96 |
|
CONTENT
ssdeep
|
384:iJ944kocKEWz/NTNKkPzFGXDJ+Qqxw8RMor4tFlB5K5+HTUh8kFDj/sE/JhSogk:o9440Wr/K02J+QqxqAwfTUh75gk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
882f37748d08f733 |
|
VISUAL
aHash
|
0000183c3c1800ff |
|
VISUAL
dHash
|
71cf7373b2b09569 |
|
VISUAL
wHash
|
01333f3d3c3c00ff |
|
VISUAL
colorHash
|
11002000180 |
|
VISUAL
cropResistant
|
a09692e0b296968e,71cf7373b2b09569 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.