Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124A3CA23411935274437C2C134BA5F7BD1A69D9BFAE70E014EECCBFA6AF9CA0741A119 |
|
CONTENT
ssdeep
|
768:naHtpR4nXF6YjOpSpFlTC6rrf4aWswhNjnzX:naHtpR4nXBKpSpFl26vYscNjnzX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed6db8921bcd |
|
VISUAL
aHash
|
00000c0c0000ffff |
|
VISUAL
dHash
|
176c697978703126 |
|
VISUAL
wHash
|
00243c3c3e08ffff |
|
VISUAL
colorHash
|
3a006000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,10926c263626c616,2b846d69797874f1 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.