Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111B32BFB2330D7F9EAC157980BA5394E337C905AB83981D08757AE991C169F7A03DD60 |
|
CONTENT
ssdeep
|
1536:cbpkL8ffMHbYIbpkL8ffMHbYiPcWCKvvAmFJ+X4WtKm83:MPf5vIr4Wt8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c70cf82cc7d233d2 |
|
VISUAL
aHash
|
18183c3c3400ffff |
|
VISUAL
dHash
|
30b2e8686813a94c |
|
VISUAL
wHash
|
18183c3c3c00ffff |
|
VISUAL
colorHash
|
32001031000 |
|
VISUAL
cropResistant
|
a5a90a5a1a0a5a8a,3432e8e8686812a5,8a88244c4dcd5458 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.