Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C33CDB2274B0D2FEE4780D6F7592799A0CAA35BC6511C05FBF24667DF41E28FC2A160 |
|
CONTENT
ssdeep
|
768:ipGNrzGNt9Zs+GPTnZwbbQNKh2p+ohCyoxaSrE0X1Xmh2fld1ClthJp0n+ml2mAZ:qd3dOhdF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9393936c6568 |
|
VISUAL
aHash
|
fdd3d393fffffffe |
|
VISUAL
dHash
|
4926262620062280 |
|
VISUAL
wHash
|
e0908083ff83f37e |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
4926262620062280,35f5745c1a1a4c45 |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.