Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E122705A6823DE340334FA16626AAE366C0454A8F17497011ED4FEFF1B9DF89D3E6D8 |
|
CONTENT
ssdeep
|
48:pSt6wDHcyM1DHC31DHR61DHWfC1oo1oyM1DH3G3HRDDK4iBFBLQBJB+DHcf5DHca:RFcGUaRcExDmG+RomRRbk71QG1t/z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0386666b231dbba |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
969696969696968e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000008018 |
|
VISUAL
cropResistant
|
0404040404040404,dccdcdcddc2d9d3d,60d8d8c895e6a621,3434b6fdae929514,f3e9e874f78ae036 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)