Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174A37A33411935274437C6D530A55B3BE2E69A4FF9A70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:lAmDSHo0NBgZf9kLnoDP0e+U+kXiTAhkZvKLz4NP/y9svbliCdylEJ/LFtiuCa25:tmA7EJ/A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc12c5eeb26c926c |
|
VISUAL
aHash
|
3e1c068fcfdff1fa |
|
VISUAL
dHash
|
f0f0bc3c1d3c2382 |
|
VISUAL
wHash
|
3e180487c7c7c1fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
f0f0bc3c1d3c2382 |
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.