Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141A3D0308291162589C39784FFF2938F41349356CAA31CDEF7E9822B7B8AD9CDF15562 |
|
CONTENT
ssdeep
|
1536:Oy2fZSLSrM8YeN2STzdTdU1U/SEl0XP151e+L2gNjGyTR4nwEhif6vw:Oy2fhTdx84l0XP1MW6vw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c91ca633b3cc89bc |
|
VISUAL
aHash
|
060018180808ffff |
|
VISUAL
dHash
|
8434b3d0dad0b280 |
|
VISUAL
wHash
|
ff0018180868ffff |
|
VISUAL
colorHash
|
01040000c00 |
|
VISUAL
cropResistant
|
0004104c4d1c1000,e8cc8e9e9b2aeefe,bb1ede9af8c9c1e3,b2b2324a20008060,a414b2f0d0dad8f2 |
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 483 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)