Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B533D8F2C3146A6E81278D84FA77D79D721A616DFF1B4A40A7ACCB5847DFC91EE26000 |
|
CONTENT
ssdeep
|
768:7v/Hs7/9+YjcYj7YjqYjsYjAYjyMYj3YjjYjk0BPz181zPl5CDqDKSTy8V0Myp4K:7vEzSBPl5C2MWyqhcUfQL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ec36cf0e0d0cc9e |
|
VISUAL
aHash
|
ff2f3f4f0f0f0f01 |
|
VISUAL
dHash
|
917d6498387a3833 |
|
VISUAL
wHash
|
ff2f3f0f07070600 |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
917d6498387a3833 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)