Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173811F319265ED32A2D3C3D0AAB1DB6F72C1C706C7471B160BF5439C4ECAD90CD5926A |
|
CONTENT
ssdeep
|
48:TN8Jj0w23TbFffin/fwFffl92Fr4tc3tclk4f4SDFfAaVatktttNR979vut9obOv:TN8ew2fkwZykC3CpDp15MVGfq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd99999999192333 |
|
VISUAL
aHash
|
ffff80c080800000 |
|
VISUAL
dHash
|
3010080000000000 |
|
VISUAL
wHash
|
fffff0f0e0c0c080 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
3010080000000000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)