Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E62B671A0846B3B02A3E2D1BB35AB59F3D0824BCA770712A6F5C34C1BDBE65DD13254 |
|
CONTENT
ssdeep
|
192:114h/2TamOBJn2Xwzk6w20vHyX014kl9ifDbdY/OXn109mgK:ffU2Xww6w1vHwkBlwma1Cmx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc739923638c36c |
|
VISUAL
aHash
|
fffffbf7f3ff8181 |
|
VISUAL
dHash
|
2cd29396c6c73333 |
|
VISUAL
wHash
|
83f3d1d3f1f18181 |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
2cd29396c6c73333,0632726272328e98 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.