Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8326073A500CD2A8E9F66CCF2C49648415EC356FB3148CAA16491FF7BC4DF069AA39D |
|
CONTENT
ssdeep
|
192:vDGAXYc9cychUjOA8sxPDMcnthWeNWbnfMmUU8VCoWo:4c9cychUjOwMfMmUFCo5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9966669999669933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b20c30 |
|
VISUAL
wHash
|
00003c3c3c3c3c3c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8ea260a2eab23082,304cb2b2b2b20c30 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)