Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E24B823B364C43D19870BDDF3A0E618268AD30AFB3249EAA25895AF77C4CDC51567DC |
|
CONTENT
ssdeep
|
1536:JwtbY+APAFAfAGGt49jqvCHdivts8eE4hg+SEToti4faYCdWcsf8:jZIvBti4faYIWcsf8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c784bcb186c6b9b1 |
|
VISUAL
aHash
|
ff00007c3c000000 |
|
VISUAL
dHash
|
d48448e1c8980469 |
|
VISUAL
wHash
|
ff00047c7e6c00ff |
|
VISUAL
colorHash
|
38200038000 |
|
VISUAL
cropResistant
|
ffff7fe3c3d3d3ff,d48448e1c8980469 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.