Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180338372D015302B43238AD875B62B5F72B7A70EDB57054CA3FEC2DA6FDAC928D21095 |
|
CONTENT
ssdeep
|
1536:PQ1uNbiuma3BTjOlLFlLHscwHiBmIamNKhUUUUUUUUUUnVWav69SktwChscngaEk:lUUUUUUUUUUVWA6skCChdgZcjS6IeI43 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16464c6d7b36664 |
|
VISUAL
aHash
|
c3c3c3ffffffffff |
|
VISUAL
dHash
|
8e96961812000000 |
|
VISUAL
wHash
|
818181cbc0f0f0f0 |
|
VISUAL
colorHash
|
07042000600 |
|
VISUAL
cropResistant
|
8e96961812000000,00829a9a9a9a00a0,31f17b3b38c4b254 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.