Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112C141B183859716141F63C8BBB1BB291072538CFB52058907DD5F81FBAAEEFEA11580 |
|
CONTENT
ssdeep
|
96:TGfRsxtSDfUtx4PC0wvHh6YHA6aljyFZ6+K6Y373737/cVJLp:afRsymCmvHh6YHA6ahyHVBp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e33692c93c18cbb6 |
|
VISUAL
aHash
|
efe7e7c3c3f9ffff |
|
VISUAL
dHash
|
1c4d4d9696130b0c |
|
VISUAL
wHash
|
e7e7e7c3818181c3 |
|
VISUAL
colorHash
|
07000038080 |
|
VISUAL
cropResistant
|
1c4d4d9696130b0c,d8a4b0b1b6ac9a0d |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)