Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DA2FEE0C150EE7B475681C5ABB1AF5F7751C389DB17094493F493ABABCACA0CB2249C |
|
CONTENT
ssdeep
|
384:QGWidiz24xwirNg/MP3QxaVbMUdXafPYjuYuQ3bMBbuqOLMcGe7jp8F:nWidii4xPrNgkPlYWXaoFnYtuqOoNEjM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b998cecccc88b2 |
|
VISUAL
aHash
|
ffcfc7e727202400 |
|
VISUAL
dHash
|
089a9dcd4d6e6c8c |
|
VISUAL
wHash
|
ffcfc7c7e7200200 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
089a9dcd4d6e6c8c,3f5d6587c7e7a763,e6869f1f1f1f1f0f |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.