Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8D1B72080184E72106199D8F7B4A947B1E6C317C71A3E4476FC832DBFEADC9C4369E5 |
|
CONTENT
ssdeep
|
96:T2ZFhicXiL530hCnchQllGSkdnvxuBQreg2l/8alCX:mvicXu30hachQMxvxuGK90alCX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99b3269c89b33366 |
|
VISUAL
aHash
|
ffffff5a18180000 |
|
VISUAL
dHash
|
318caab2b2b20c30 |
|
VISUAL
wHash
|
ffffff7818180000 |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
a108101092101092,8aba92ee9898ae92,4cb2b2b2b2300c20 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.