Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F312DFB22186B6735197F2C0DB237F7633C18382E6462B159AFC879E5BD9D02CE31026 |
|
CONTENT
ssdeep
|
192:R1xdpJxj+UEzBE32G62o5mldYPKcfipSKH5GJAWQPfqCU:Xxj+UEzBE32G62o5mldYPKcfipSKZGJt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b66d3595a7c0b2 |
|
VISUAL
aHash
|
46047e2e4e640018 |
|
VISUAL
dHash
|
9eecccccdccc0030 |
|
VISUAL
wHash
|
ff047e6e6e6e0018 |
|
VISUAL
colorHash
|
30002c00008 |
|
VISUAL
cropResistant
|
d8c9ccc44d496bb2,9eecccccdccc0030 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)