Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CA38933411935274437C6D530A65B3BD2E69A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:ySkZqrI8Lz4NP3+mZY9svblTOCVr92/CgsSKvZ8Zi3FtiuCa28y2OZL:lHLz4NP/y9svbliCdXjBFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34abd29ed42c71a |
|
VISUAL
aHash
|
00003420000004ff |
|
VISUAL
dHash
|
cc98c8c4e8c8ccbc |
|
VISUAL
wHash
|
00007c7c7038ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
0400a081303080a0,cc12c8c4c8e0c8cc |
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)