Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16993867612856E2B2B4356C0421DB758F3C7DB09C7DEE55AB7AC838B7B83DA0C9351A0 |
|
CONTENT
ssdeep
|
1536:H4maeelOy4iDPo9ELcJAbfFh7iKDDjaKgY9F7rvXSSk1tn9xsdM8DDhxYANIOnCf:s37Io+f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c25069be9696b6b4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8493ccd8cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
c8c8d4cccc234716,8c82d293c8c8d4d4,4565417969214141,80414d7171514d01,88244d4924353109,24a7b00146187860,64cdc96969b13b3b |
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)