Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D2213738144A82723ABE2C52E67F33EE1D7506FDE812D47A1CA474DE9CAED9980006D |
|
CONTENT
ssdeep
|
96:1rNdj3Sv9xmYFtE5QXsGwptAuv31LNCSS8Pe4wiDmzKR:RPj291FQdMCNU8PXmzg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec05932c6d9b946b |
|
VISUAL
aHash
|
3fffdff1f19efdfd |
|
VISUAL
dHash
|
4074b8a3a3b82929 |
|
VISUAL
wHash
|
003e7e50701ebdfc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4074b8a3a3b82929,0008303232300800 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)