Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DE144E1C414DD3A032286D6F7F56B5FB692C349CF06098453F842AB9BDFC60CA16A9D |
|
CONTENT
ssdeep
|
96:Tk2rZO79oh4lzH0XfeG9Edt7zyHDwvF1ehXhHFwepXJz/Lt7bqQPJ:Q779oh4lzH0X19Ed9CNT1LzjdqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b09f65651e1c644f |
|
VISUAL
aHash
|
00ffffffe7c3c3c3 |
|
VISUAL
dHash
|
1c1c26208e969696 |
|
VISUAL
wHash
|
00c3df8fc3c3c3c3 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1c0c32208e969696,0000020414040000,0000000000000024 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.