Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9238471A24128B742D783FAE2369F5AA7F8C649DB134A85E3FDC35C5BC6C509F12221 |
|
CONTENT
ssdeep
|
768:U08OC6rv17Drxmy/LghybG3biVFJtQMHYNpRCx72N5VM/mI0Fig57jJI+Wjtdpfo:vV7A4gO2biVFJtQMHYNpRCx72N5VImIC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e5e43c9839e1e1 |
|
VISUAL
aHash
|
4e70700c6c70007c |
|
VISUAL
dHash
|
96e5c418d8c6e4c4 |
|
VISUAL
wHash
|
ff70700c6c70707e |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
96e5c418d8c6e4c4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.