Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB03D6E08657223F144AA3E9B714D71973825488CF790B86C3ECC64D57CFF49ED6229A |
|
CONTENT
ssdeep
|
768:q3e3KuDrD7BwJhbI/POU+g5W2eAJVtrgoAJVtrg8Kwa0uxq:k43BwJhbI/WU+g5W2BJVtrg/JVtrgxIr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92cd36696938366b |
|
VISUAL
aHash
|
007e7e7c7c3e0406 |
|
VISUAL
dHash
|
c4f4ccd0f0cc8cac |
|
VISUAL
wHash
|
007e7e7a7c7e0606 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
d9cd4949c94c0d4d,c4f4ccd0f0cc8cac,8e8eccdcd8c8c8d6,4333cbd340d4d4c9 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)