Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC332BF93845B5121BB290D3B06F2A4BB33A242F740C59B07560DEA974F84A9507BFCE |
|
CONTENT
ssdeep
|
768:uyWuP/WyuLs/uZC9fn8+1R5rYQ/m5t1UMrX8USm1O8TsoISxHyOzxHRBaW/Sy3sj:z8T7HyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f5ad0c252721e1f |
|
VISUAL
aHash
|
fcbf0f071f3fef8f |
|
VISUAL
dHash
|
cc307c0d78701a1a |
|
VISUAL
wHash
|
7c030707073f8f8f |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
cc307c0d78701a1a,45453b98c42b5145 |
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 469 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)