Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A55375725241BA3B148343D19B2CA35EA3C1D68EC7D14947EAEC831A76CBEF0DF26165 |
|
CONTENT
ssdeep
|
1536:Rud0XhyNWIY9j26lQ68c6Qy6h/69um+xm/r8odbwmc3iX4:DxiNYR26lQ68c6Qy6h/69fZ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968c38e3c3c9c3d9 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
6934ecdccccc3334 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
6934ecdccccc3334,7c270f4e5d393230,0f0f0f174323138b,b861c51ad89858e0,a2d6572fdd656f49 |
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.
Pages with identical visual appearance (based on perceptual hash)