Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4A35A33411935274437C6D530A55B3BE2A6D99FFAA70A010EECD7EB1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:VkmmLz4NP/y9svbliCdUNRFtiuCa28y2O9:tYmAXA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363f43af528c347 |
|
VISUAL
aHash
|
00002000000400ff |
|
VISUAL
dHash
|
1c58c2d0f9fdb3b8 |
|
VISUAL
wHash
|
00bf7b381c1f00ff |
|
VISUAL
colorHash
|
11010000e00 |
|
VISUAL
cropResistant
|
808001383800a000,1c5cc3d8f0f9fd33 |
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)