Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE2B3319148693F06A773C0FBA1E35BA29143C8E943877A42FDC74D0BDAC90EE179A4 |
|
CONTENT
ssdeep
|
384:YHfIIViOIIIII9alBVgu7Q1/l+CY2NxcliOkE3YfbpW:AfIIJIIIIIiE1/of2Nxcli8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c183963d6 |
|
VISUAL
aHash
|
00e3e7ef7f3c1818 |
|
VISUAL
dHash
|
97cfcbdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0002e4ccc4400000,97cfcbdbe5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)