Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1E2A532D019A93F069BB3E1B770A36B73C6838AD943172A42FDC74D5BEAD90DD06494 |
|
CONTENT
ssdeep
|
384:pY26II1dIIIII9NlBYYT7yRTsClAgY1uCrkCbKvErqQPfWpW:K26II3IIIIIh7yRTsTgY1trv9qQnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3711c9c396396 |
|
VISUAL
aHash
|
00e3e7ff7f181818 |
|
VISUAL
dHash
|
c7cfcfd3e5f3f0e0 |
|
VISUAL
wHash
|
00e3efff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
73e3d3ee9c988c8c,0002487cd4400000,c7cfcfd3e5f3f0e0 |
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)