Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137A38A33411935274437C2D530A55B3BD2E69A5FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:9TjynIUthA5/dELHIjvU+e0eE68CzgBEjLz4NP/y9svbliCdjnFtiuCa28y2O9:O5mA9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762bd39c546c332 |
|
VISUAL
aHash
|
00002430000024ff |
|
VISUAL
dHash
|
cc14ccc4d0c0cc9c |
|
VISUAL
wHash
|
00007e743838ffff |
|
VISUAL
colorHash
|
39000000418 |
|
VISUAL
cropResistant
|
4400a081303080a0,cc16ccc8c4d8c0cc |
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)