Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18663447C23C0563550CBC7B2E5A4DF29D299CBDADB27AE8BF2ACC2471686C44CF55260 |
|
CONTENT
ssdeep
|
768:9VEFfuq13AbfXHwo4xBg28Dg71v3PZHGEWbBv9hedEV:WfL17v1v3PkEWbX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0bac0ead2d2 |
|
VISUAL
aHash
|
ff0b0b2303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79390 |
|
VISUAL
wHash
|
ff0b1b7b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
4bdff3d3d3d7d7b3,2040838b73a36393,dff3d3d3d7d39a90 |
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)