Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1196375721186BE3F208382D1836DE35BE3C2D609C7674986DBE8435F67C6DA0ED355A8 |
|
CONTENT
ssdeep
|
1536:b4dEmjNurDcnT0U51d75000Liw7Qb01qx8RQ8Kj:B37LJO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84187bc156cbcf1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ec183331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
1357dc4c7d74332b,915456929b2b4340,38789d9c8c8c8d8f,82a28a969696a882,c53a382327400f4d,968fe9d7832b3397 |
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)