Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAA3DC27412975274437C2C134BA5B3BD1A69A9FFAE70A000EECC7FA6BF9C90745B119 |
|
CONTENT
ssdeep
|
768:fzHmtpR4nXF6YjOpSpFlTC6rr7yvztz2Fts6Cp0Nr0PIU:fzGtpR4nXBKpSpFl26vmvutjNwPIU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8269373a85e3e68d |
|
VISUAL
aHash
|
4109717119146e3f |
|
VISUAL
dHash
|
9b39c3c3b1adcccc |
|
VISUAL
wHash
|
410971791d147f3f |
|
VISUAL
colorHash
|
30006000000 |
|
VISUAL
cropResistant
|
9b39c3c3b1adcccc |
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.