Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6E2B5319108A93F0AA7A2D1E7B5B36A23C5438DD903076B42FDC74C5BEBC50ED1A4D5 |
|
CONTENT
ssdeep
|
768:nII9luBTIIIIIo/Lxpxul3U4E2igwRgm6Fsyn:nII9aIIIIIo/7xul3UDcsgm6Wo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3751c1c3963c6 |
|
VISUAL
aHash
|
00e7efff7f381810 |
|
VISUAL
dHash
|
86cdcbd3e5f0f0e0 |
|
VISUAL
wHash
|
00e7ebff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d888c0c,0000706169040000,86cdcbd3e5f0f0e0 |
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)