Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D613EF20A800ED3701DBA5D96672876A62F68341CA230685FBF4C3F95BEFC28DE77155 |
|
CONTENT
ssdeep
|
768:o5sIx/jvnOMzAemqneeeHeeeneeeEzjULjoohVyUf79F:0sIxTnOMzAemqneeeHeeeneeeEzjU/oc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9266ed11d22cdb6a |
|
VISUAL
aHash
|
0242040c6e0e02ff |
|
VISUAL
dHash
|
c49429cddddc1669 |
|
VISUAL
wHash
|
4646046e6e0e0fff |
|
VISUAL
colorHash
|
30200030040 |
|
VISUAL
cropResistant
|
696969e868b2e871,cecece4763cecece,9e070f0e0a0e0f84,9c164f1f0f0f0ecc,02006a32664a0000,c49429cdcddc164d |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.