Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126A38A33411835274437C6D530A55B3BE2E69E4FFA970A014EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:qPmeboXLz4NP3+mZY9svblTOCVrlvSYyfc2aniNGNO6jVhL:rLz4NP/y9svbliCdgv2X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361693a1d6d96c5 |
|
VISUAL
aHash
|
006470200e0e797e |
|
VISUAL
dHash
|
d8ccc4c2ecccc3d4 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
04324c4c4c4c2008,d8ccc4c2ecccc3d4 |
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.