Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DB38B33411975274437C6D130A55B3BE2E69E4FFA970A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:hILz4NP/y9svbliCdNwK0bgFtiuCa28y2O9:QmAI0bD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f9329d6d9643 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
d8ccc0c2ccccc3b8 |
|
VISUAL
wHash
|
00647838260effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
0c324c4d4c4c2000,c004800158588090,d88cc8c0caccccc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)