Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FA3BD23421975274437C2D1346A5B3BD1A6D99BFAE709410EECC7FA2BFAC90742B21D |
|
CONTENT
ssdeep
|
768:k/RtpR4nXF6YjOpSpFlTC6rrWMdoeiszPhnnHUb8/vtEkG:kJtpR4nXBKpSpFl26vBotO50b8/vtPG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed6979ed4d41 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
dcdcccdc9cbc002a |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
12000008e00 |
|
VISUAL
cropResistant
|
5054292040809040,0000618181610000,0020408080004000,8888444aa11c4251,bc002956562b2b2b,db5ccccc6c9c9cdc |
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.