Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115A3DF308291162589C39784FFF2938F41349356CAA31CDEF7E9822B7B8AD9CDF15562 |
|
CONTENT
ssdeep
|
1536:5gGfZS0SrM8YeN2STzdTdU1U/pEl0XP151e+L2gNjGyTR4nwEwi9BvgF:5gGf8Tdx8dl0XP19oBvq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d90cb623b3ccc9b8 |
|
VISUAL
aHash
|
660018180808ffff |
|
VISUAL
dHash
|
8414b3d0d8d0b380 |
|
VISUAL
wHash
|
ff0018180868ffff |
|
VISUAL
colorHash
|
01040000c00 |
|
VISUAL
cropResistant
|
0004104c4d1c1000,e8cc8e9e9b2aeefe,9b1ededaf8c933e3,b2b2b2d621008260,9414b2f0d0dad8f2 |
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 400 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)