Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B983BB35A23B1826911FB2E4E2A487192693CB8AC7438BF5627C12F67FCD8753D1318D |
|
CONTENT
ssdeep
|
1536:bEP6EXP1Xx6eMFqpFbqYMFpnkeh0ec9MwVeu36BkMbzSATMAYML7xyMHLrHd7eoN:bEP6EXP1eCWhseZbwiJLP04YDMlkSz8Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3cc319a9b9acd31 |
|
VISUAL
aHash
|
3c20303c2c3c2c44 |
|
VISUAL
dHash
|
79c64469d9d9c9d9 |
|
VISUAL
wHash
|
3c323c3e3c3e3c2c |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
79c64469d9d9c9d9,ceed490981917971,f4f0f4f0d0d0d0f8,d91acf6971d4dcce |
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.