Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE29632D10A693F05AB62D1B775A35EB2D1438DDA43072942FC878C5FEECA0ED135A9 |
|
CONTENT
ssdeep
|
384:B3IIsvIIIII9OlBqa82H+JT/JYfkvPcNyjAY5xiK+vUG5impW:NIIWIIIIIeETL8U55xr+MB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d0c9c396396 |
|
VISUAL
aHash
|
00e3e7ef7f381818 |
|
VISUAL
dHash
|
8fcfcfdbe5e3f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3d3d2ec9c988c8c,0000616969000000,8fcfcfdbe5e3f0f0 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)