Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182234B72A722B86883DB91EEF7382D46B2D1549DE8C74450F5C996CD23C3C816297BF4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8RRF4SDawiMoB/woMoB9Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvP:af+EsZ/8TOSDawiMoB/woMoB9UXx+y9o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfd0c5d0c5d0e5d0 |
|
VISUAL
aHash
|
bf81818181818181 |
|
VISUAL
dHash
|
6969697969697967 |
|
VISUAL
wHash
|
ff859d9d85818d81 |
|
VISUAL
colorHash
|
01006000000 |
|
VISUAL
cropResistant
|
6969697969697967,50a4535145559229,dcdcfcfcccdcfcc7 |
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)