Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166D26571B194673F42A7D2DDB320672EB2D3828DEB9A291153F9439E0BE7D10CD5342A |
|
CONTENT
ssdeep
|
768:+e/GLxkUb//y6m+mkbd7sOy2+y9BH4cLIe:EvbOVo7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272fc3a9869c5c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc049cdcd9300 |
|
VISUAL
wHash
|
00c4f0302f05ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc0c8e9cdcd0b |
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.