Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B4363B142016A3F219383D18B65D36BABC2D709C7524997F7ECC31FA6CBDA4EC26125 |
|
CONTENT
ssdeep
|
1536:B05buKXkDMBv26RZ6PT6Qp6/Q6+D+7ulxm/r8APvx:28ukDsv26RZ6PT6Qp6/Q6+TY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
969d39e3c3c9c318 |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
6934fccccccc3338 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
6934fccccccc3338,7c774b4d4dbcb0b4,0f0f0f174323138b,4100454545454500,a6e5350fc5654b49,0222c05b5b6b2c90,8959492b334a4894 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)