Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16632DC223448B12747D363EEAD21A399E3A38156DF360E4162F54A0F9FE6E41CD1296F |
|
CONTENT
ssdeep
|
96:v5LieDrLlNNRun1sVayQ2J5zNzby4BN504DJP4T4likBw0AYIyp+qSAYIwAYIbjv:vUEBJEy3jwyJp+qwpgf40fMU1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e61919dc664c71 |
|
VISUAL
aHash
|
ffffe7e7ff000000 |
|
VISUAL
dHash
|
c8084d0c0d313131 |
|
VISUAL
wHash
|
66ffe7e7ff000000 |
|
VISUAL
colorHash
|
1e001000280 |
|
VISUAL
cropResistant
|
0c4c4d0c0d107131,000204ccc8d40000,743c86c6a2816953,0131713101313333 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)