Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143325F33A510CD2A8AAB56CCF2C49688450EC356FB3148CA61A481FF7BC5DF065A67DE |
|
CONTENT
ssdeep
|
192:9AtYc9cychzBOkAsxPDMcnthWeNWbGfMmUU8VCocc:Xc9cychzBOsFfMmUFCoB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9926669999ce9933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b20c30 |
|
VISUAL
wHash
|
00001c1c3c3c0c0c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8ea660a2eab23082,304cb2b2b2b20c30 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)