Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111D27331A110663F0297C3C9B752E35FE2E39289D785081593FD839D5BE7E50EE2352A |
|
CONTENT
ssdeep
|
768:iSzy5NOqoJEYHOisAu96e7pD7sOy2+y9BH4crIe:woJ+iju9dd7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a96388de1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3c8cde98b00 |
|
VISUAL
wHash
|
60f370300405ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3c2c8cde90b |
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.