Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B22156551225CE471343EAC863D3361E38C7C30A4783090612F45BBD69F5DCDCDA50D5 |
|
CONTENT
ssdeep
|
24:halDU07OScpZcgOzjq3lM7LGNRk2Nou+8Bic6+xO+m:IVHcpZcpGVIGw2YWpC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d277366cd395252 |
|
VISUAL
aHash
|
0003581b5b1b0100 |
|
VISUAL
dHash
|
964fb332b2b20e92 |
|
VISUAL
wHash
|
00037f1bffff0b00 |
|
VISUAL
colorHash
|
07430000000 |
|
VISUAL
cropResistant
|
ea70aea2aeb2838c,964fb332b2b20e92 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.