Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112122705A6823CE340334FA16626AAA366C0454A8F17497011ED4FEFF1B9DF89D3E6D8 |
|
CONTENT
ssdeep
|
48:pSt6wDHcyM1DHC31DHR61DHWfC1oo1oyM1DH3G3HRDDK4iBFBLQBJB+DHcf5DHc3:RFcGUaRcExDmG+RomRRbk60oz0S/z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0386666b231dbba |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
9696969696969686 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000008018 |
|
VISUAL
cropResistant
|
0404040404040404,dccdcdcddc2d9d1d,60d8d8c895e6a621,3434b6fdae929514,f0e08a9a9abae0f0,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)