Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBB186F244496C366A32C5E8DEF9E724E0C34E5DC6570691D2F8326F06C4EB1EC87228 |
|
CONTENT
ssdeep
|
96:qbuIPz0Cv109TBn9YLfqtx7Svzux4/DrBK3XQdBF5hZo:ihy9Tbmvzux4/hK3Xqnjo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83030b0b03775fdf |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
8000880800000000 |
|
VISUAL
wHash
|
000f0f070f0f0f0f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
010090a5a4830000,0000080000000000,0000000000000000 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)