Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EE2C3319059A93F06A773D0E7B1E36BA291438AEA43472A42FDC34D0BDED90ED169D4 |
|
CONTENT
ssdeep
|
384:Y1fIIVipIIIII9hlBV7C2T1/lvUY2SIJmYZvBHdfbpW:6fIIaIIIII4m1/xp2SIJmYK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3711c9c1963d6 |
|
VISUAL
aHash
|
00e3e7ff7f181810 |
|
VISUAL
dHash
|
87cfcff3e5f3f0f0 |
|
VISUAL
wHash
|
00e1ffff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606868400000,87cfcff3e5f3f0f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)