Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166D28732B184273B4297C2D9B321672EB2D3838DDB9A291193FD439E0BE7D50DD5352A |
|
CONTENT
ssdeep
|
768:be/G6CBSmR8reWyiX1L07sOy2+y9BH4cLIe:PBn1Dx7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a8d6dc1c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0c4840cdcd9b00 |
|
VISUAL
wHash
|
80c4e0203d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4c48c1ddcd1f |
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.