Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC234B726722B8A843DB91DEF73C2D56B2D2488DF8C74414F5C95A8E23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:albm+EsZx8/G8g4QCDawOMbBPwbMbBGCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKN:albm+EsZ/8DQCDawOMbBPwbMbBrN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a95956b859562 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d41414101200000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
4d41414101200000,9600008080c08080 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.