Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBE2963261047B3B02E393F9B361775FA2E3C289DB86061653F9835D0BE6E41DE63616 |
|
CONTENT
ssdeep
|
384:aeaSFqD2b2xV11151UkQqzYWMdH2hv6Mhz6zG2rEqNnTIfBcYKynXNIYsOy2+y9j:aeaS8Xz7a2nz0Hn4Z7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247f412b93898ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dcccc8d8cccccd00 |
|
VISUAL
wHash
|
04fc7000141effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3cdcdcdc3c3c3,0880880458988000,dcccc8c0c8cccccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)