Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4A37A33411935274437C6D530A55B3BD2A69A5FFAE70A010EECD7EB2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:s7PQASvciLz4NP/y9svbliCd8CoYJFtiuCa28y2O9:7mA4q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd32902dc502 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c4dc3c3ccc47498 |
|
VISUAL
wHash
|
c0f771300e003fff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000180815c588090,140dcbc3c9ccc634 |
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.