Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C523DA9102441B17D76322B5EA96F7FA23B840A896B15004BDFE929F1FC5C6B607F2C7 |
|
CONTENT
ssdeep
|
768:N1hq44pLAUCAyqLjIKVEbieG023eV6ijW:E44ZZyqLdqOeq3eVBW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b73a5968a7c26a85 |
|
VISUAL
aHash
|
0307272727003e3e |
|
VISUAL
dHash
|
2f5e4c4e4e1dd65c |
|
VISUAL
wHash
|
070f2f2737003f3e |
|
VISUAL
colorHash
|
38200008600 |
|
VISUAL
cropResistant
|
bc9e86f464ac8c8a,6e20ce46b49c989c,d8e8e8f4f89ef23d,0c32b23232320c00,301d334d4d2ba3e9,2f5e4c4e4e1dd65c |
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 80 techniques to evade detection by security scanners and make reverse engineering more difficult.