Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1B39B33411975274037C6D530A55B3BE2E69A4FF9A70A010EECD7FA2BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:AQy3Lz4NP/y9svbliCdO1z/GvCEFtiuCa28y2O9:14mAh1t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c5cd92786d92 |
|
VISUAL
aHash
|
3b1f8b8feff1f0fe |
|
VISUAL
dHash
|
e2b33b3c1c262298 |
|
VISUAL
wHash
|
3b1f03878fc090fe |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
e2b33b3c1c262298 |
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.