Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171735CBAB480B51246F341E371BF6A03733D440F780E45A0E29CDB9E75E4869B1A7BD9 |
|
CONTENT
ssdeep
|
1536:fok2BKPI3d6kxQDzWNGuSLG0Q3k17a7zQ2N0msQw:fok2BKQ4kxAzWkuNBVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f96d659616964551 |
|
VISUAL
aHash
|
00c181dfffffffe3 |
|
VISUAL
dHash
|
3733331f1236198a |
|
VISUAL
wHash
|
008181c3ffffff00 |
|
VISUAL
colorHash
|
0f240030000 |
|
VISUAL
cropResistant
|
333333163336198a,dc37333333133337,12eacaca3a0a0201 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.