Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABA37933411935274437C2D530A55B3BD2E6999FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:eqEbxw/xLz4NP/y9svbliCdFcizSjFtiuCa28y2O9:pmAYzSI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43cbc29b543 |
|
VISUAL
aHash
|
00606000000000ff |
|
VISUAL
dHash
|
dcc9cbcbcc2cc1d0 |
|
VISUAL
wHash
|
40fff371640030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080800130308080,dccdcbcbc9cc2cc3 |
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.