Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2D27432A284273B51A7C2C8B721672EB2D3438DEB9A591263FD539D0FE7D10ED53426 |
|
CONTENT
ssdeep
|
768:Ue/GLIQvJzxTutnlHG7sOy2+y9BH4crIe:xCtUI7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272fc3a814dc5c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c0cc0c0ddcd8b00 |
|
VISUAL
wHash
|
00c4f0303507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4cc0c9cdcd1f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.