Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFA3BB23421935274437C2D1346A5B3BD1A6DA9FFAE70A014EECC7FA6BF9CA0741B119 |
|
CONTENT
ssdeep
|
768:V86tpR4nXF6YjOpSpFlTC6rr77TIm+SFE8I90ZSpGcP:VntpR4nXBKpSpFl26vb+UkXP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cae09a3ad1c1e6cd |
|
VISUAL
aHash
|
7c39717078041c1c |
|
VISUAL
dHash
|
f1e1e7c3c12df8f8 |
|
VISUAL
wHash
|
7f797170f8041c3c |
|
VISUAL
colorHash
|
39006000000 |
|
VISUAL
cropResistant
|
f1e1e7c3c12df8f8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.