Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E93DE31A27B1816911FB2E4A2A487192693CB8AC7438BF5627C12F67FCDC753D1318D |
|
CONTENT
ssdeep
|
1536:bTUDUhg1XIiaeMSqpEbqw+MFpPkef0eu9M7Ve+3GBkMpzSATMmYML7MFyovHd7eB:bTUDUhg1AbYxbyZpwo8LaRYD9tAPCQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36c319a199bcd31 |
|
VISUAL
aHash
|
3c20303c1c3c2c44 |
|
VISUAL
dHash
|
79c644f9e8e9c9d9 |
|
VISUAL
wHash
|
3c723e3c3c3c3c2c |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
79c644f9e8e9c9d9,ceed490981917971,f4f4f4f0d0d0f0d8,d91ac7e97975dc9e |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.