Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140D29531B210363F52A783C9B761E35A66F25388E745090653FD93AC0BE7E94EF6311A |
|
CONTENT
ssdeep
|
768:WSzy5NqzR30eIa0N4fIYAIARWe61B7sOy2+y9BH4cLIe:Z1ARx27sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34db532b43ad6c2 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9ec2c3c2ccc98900 |
|
VISUAL
wHash
|
40ff78300400ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080a00458988000,9ec2c1c2c0cccd09 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.