Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3237296314866E5C1F34ED898102A842142EB5FC9318770C2FC4E76A7E76A5B78CF7E |
|
CONTENT
ssdeep
|
768:jLtrxLtrPLtr6ObfJagb/QbHCiM/RR10q5PYsHwlUSbjhs4jY7yUjJoHuKz:jLt9LtTLtGODjJY4wGSbVM7m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bada29bde60490bc |
|
VISUAL
aHash
|
ffecdcf4ff8f0303 |
|
VISUAL
dHash
|
0159b9452d3e1276 |
|
VISUAL
wHash
|
ffccdc848f870303 |
|
VISUAL
colorHash
|
16601080000 |
|
VISUAL
cropResistant
|
052149d939a9c915,7879b9743d6c3531,5866262e7cdea66f,e293416984a2c8c0,73f3f6cfbeecd0a0,c9c8b0b088b18e8c,4919a9452d3e1276 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.