Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC93AA23421975274437C2C1346A5B3BD1E6D99FFAE70A400EECCBFA6BF9CA0741A519 |
|
CONTENT
ssdeep
|
768:VatpR4nXF6YjOpSpFlTC6rr7QpXL1rMzpqxmp0jIbM:ktpR4nXBKpSpFl26vkZlMzpqTjIbM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e261103ebde56257 |
|
VISUAL
aHash
|
444060f9fda47064 |
|
VISUAL
dHash
|
9c94c2d3216dc48c |
|
VISUAL
wHash
|
464070f9f9f4706e |
|
VISUAL
colorHash
|
30c00000080 |
|
VISUAL
cropResistant
|
9c94c2d3216dc48c |
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.