Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7327173A600CD2A4AAF56CCF2C09A88455EC346FB3148CB61A481FF7BC5DF065967AD |
|
CONTENT
ssdeep
|
192:/AS30Yc9cychhmhA8sxPDMcnthWeNWbrfMmUU8VCoUz:l3Dc9cychhmhwQfMmUFCoUz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99ce663199cc9933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b20c30 |
|
VISUAL
wHash
|
00003c3c3c3c0c0c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8c8c62aaeab23082,304cb2b2b2b20c30 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)