Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10272B53EE044B73B418751F5BB3543AF7290C686CA1B4B076AFA831A5BD3E76DC22149 |
|
CONTENT
ssdeep
|
384:YjjHAJn87ng429qJRbvx1gC9qF3y/UV9q1Xy:uQ8LhKcBf30hHCy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d3435a79724359d |
|
VISUAL
aHash
|
4218183c3c181818 |
|
VISUAL
dHash
|
9631b27169f2323a |
|
VISUAL
wHash
|
7e3c3c3c3c70183c |
|
VISUAL
colorHash
|
38018030000 |
|
VISUAL
cropResistant
|
2d1cd449aa213232,9631b27169f2323a |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.