Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4D2D531A060373F139B82C9B711F36EA2D79249EB47090A53FD935E5BD3D90DA6342A |
|
CONTENT
ssdeep
|
768:CxSky5NrH3kLmLM5QsJ+E2jifBIaN7sOy2+y9BH4crIe:ULwYz9BbN7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f4389d68dc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9ccccccacc2c8300 |
|
VISUAL
wHash
|
00ee7c600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccccc0cacc0c40 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)