Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCC2E73186C69A37104393C4BBB2D70BB3D192C9EE67579196F48BB977CBC98DC12A04 |
|
CONTENT
ssdeep
|
384:FDJIIuD5w4ryJD3YybNGDwN1OVPkAniXkWTiTO+PrQt8mXtV9:FVIIywRTdZxEVsAnipT3Eif |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c3c379396347599 |
|
VISUAL
aHash
|
0418183c3c3c1808 |
|
VISUAL
dHash
|
647130717171f0d4 |
|
VISUAL
wHash
|
163c3c3d3c3c3c3c |
|
VISUAL
colorHash
|
30200008009 |
|
VISUAL
cropResistant
|
6b69f1e14b5fb98c,647130717171f0d4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.