Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1230279B0411424AA5BC3FC84A1D27F0A90B7C4FBE54E389C61B85A9C1FD6FE2D4D53A5 |
|
CONTENT
ssdeep
|
192:KYJ5KLPgev+LXY5KdFcCUbUvbgX7Y/Nf6YKcl:KuK4OKdlEX7Y/J2cl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87876878f868bce8 |
|
VISUAL
aHash
|
ff3c3e3c3c3c0000 |
|
VISUAL
dHash
|
f8ccc4e8c8f0a0e0 |
|
VISUAL
wHash
|
ff3e3e3e3e3c0000 |
|
VISUAL
colorHash
|
0b000000380 |
|
VISUAL
cropResistant
|
00008080808000b0,868e62c8d28ac870,0000103210000000,fcc8f4ccc8f4f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.