Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168235A726332B8B843DB91EEF7382D56B2D65899B8C74410F5C99ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G8G47DatDMmBRtSMmBrUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:an+EsZ/8h7DatDMmBRtSMmBrUXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc3828f5e1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e9e9cdc9d1008000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0b007000000 |
|
VISUAL
cropResistant
|
00000c0c0c0800bf,4000000000000000,fdf9e9c9cdcdc1d1 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)