Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118A38A33411935274037C6D530A55B3BD2E69A5FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:5OhrBJ41BLz4NP/y9svbliCdgCoPMFtiuCa28y2O9:DmARf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd329069c503 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c4dc3c3ccc4d1c8 |
|
VISUAL
wHash
|
c0f771300e007eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
c800c08018588090,144dc3c3c9cce6d8 |
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.