Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15332EDB055016D9E1AD3F6D4D0D63E4721F6D9BAE80F2E98A2BC876D0ED6FB0E4C1250 |
|
CONTENT
ssdeep
|
192:8Ia+7CFrdVD9R2fvBoTFOFaFmFqFZFxvoC2a0v7TqFJTqFYbTqFQTqFITqF0dOi3:laD90BoTg4kcXTvoC2aUquOKfzKdOia2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b327263319ccccb3 |
|
VISUAL
aHash
|
0000ffffefffffff |
|
VISUAL
dHash
|
f20e385a5a2a1000 |
|
VISUAL
wHash
|
0000fcfcecfcf0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8000c0c0c0800080,4c08325a5a200000,0200020703020000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.