Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB04F97653A215FE209BC3FAAB672E1561D9C347EAE39949E0ECC3561787C40EC532E0 |
|
CONTENT
ssdeep
|
768:fzK1PTVOygrpzi6AMfjeZgYzeIa0rW0wZ+Om+TPmqv4zC2cqvpHuYD4MB7e/xmsg:ZXAZuYD40 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2c7a808687976a |
|
VISUAL
aHash
|
ff8181ffffebffbd |
|
VISUAL
dHash
|
6c2b2b5695569529 |
|
VISUAL
wHash
|
a78181abd58bd599 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
6c2b2b5695569529 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.