Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107A36A33411935274437C6D530A55B3BD2E7994FFAA70A010EECD7EA2BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:m3eLA9Lz4NP/y9svbliCdVggDVFtiuCa28y2O9:W/mAi2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343fc3a9c29b343 |
|
VISUAL
aHash
|
00602000000000ff |
|
VISUAL
dHash
|
1cc8c8c8c8cd0fb6 |
|
VISUAL
wHash
|
c0fee0607c0703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
008081303000a000,0cc8c8c8c8cccd0f |
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.