Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18ED2A431A2003A3B01A783C9B751F36A92E39349D749090653FD876D5BE7D64EF2352E |
|
CONTENT
ssdeep
|
768:HSzy5Niup8icTRs6ODNp9kKe+c7sOy2+y9BH4crIe:9ION9kNN7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f13a903cade3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
88c3c3c8cdc99b00 |
|
VISUAL
wHash
|
60fb70300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3c2cccdc90b |
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.