Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BF29331D0896E3F05A762D1E3B1A35AA2D143CDE947472A82FDC35D1BCEC90ED178A9 |
|
CONTENT
ssdeep
|
384:YEfIIVi6IIIII9glBV0CH+JTDXs1/lSyY2Jlwxiiog3cfbpW:pfII1IIIIIwETD81/sP2Jlwxia |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c183963d6 |
|
VISUAL
aHash
|
00e3e7ef7f3c1818 |
|
VISUAL
dHash
|
87cfcbdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0002e4ccc4400000,87cfcbdbe5e1f0f0 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)