Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176C29830204067BB656B4DE872A0F3AB61E9970DC45BD006F7B882A62BCECF1C713785 |
|
CONTENT
ssdeep
|
768:CfajONX8XjX9X4XBX71XCfYS9HKEzGdTdnH5b88m9:U8KvNc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d338c33acb363cc1 |
|
VISUAL
aHash
|
00000000000e7e7e |
|
VISUAL
dHash
|
19989030702cc8c0 |
|
VISUAL
wHash
|
88c898b8187e7e7e |
|
VISUAL
colorHash
|
01040006200 |
|
VISUAL
cropResistant
|
6dacad9594e8a425,19989030702cc8c0 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)