Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111C2C7789250233C83D3C3989B266735636E91E2F34021549BFC85B06566ADECEBB7C9 |
|
CONTENT
ssdeep
|
384:T+S1klm32IOHv1w/2FlKe84XHs8SMc0g65wuwuwHkLALseZEfMB2lc:yS1klm3dOdtFoBygtkBPMBSc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c52e913b91cae6c5 |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
0a02a5259e009292 |
|
VISUAL
wHash
|
ff00f08000e0ffff |
|
VISUAL
colorHash
|
39000e00000 |
|
VISUAL
cropResistant
|
00002a2a6a2a0000,9692929292dbd3b6,0000880808080808,1e86a527ce009292 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.