Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154637522E7930A03917B91D4F073478923A5868DC7170BB576BD77BAE9CFCB53612288 |
|
CONTENT
ssdeep
|
1536:O8eeHeebeelQeeK98D353epV57r6fpTeTefeexeeWdeerAnEeeYeyOUHqeegEEne:X57r6fpOMWJX6xK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf7c6498239a9355 |
|
VISUAL
aHash
|
90813c3c3c3c3c24 |
|
VISUAL
dHash
|
242769696969694d |
|
VISUAL
wHash
|
fa913c3c3c3c3c2c |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
242769696969694d,3874ebd0c0a08080,70c7909083e03e87,a0908987c6e97c98,8c9834f9b19ca7b3,0913020b0b414243,49996470350f2b02,23408180601c03e0 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.