Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126A3CD23411965274437C2C1346A6B3BD1B6D95BFEE70A410EECCBFA2BFACA0741B519 |
|
CONTENT
ssdeep
|
768:G98iMtpR4nXF6YjOpSpFlTC6rrWi1v14QZMZU:G98rtpR4nXBKpSpFl26vV1qQZ0U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9652ed2939e9cd05 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
1c0ccc8c8c2c002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
0a0000006c0 |
|
VISUAL
cropResistant
|
4d58d86c112020c0,0000408080400000,000041a121410000,00204080a0004080,9a9216929832a6d2,1c000956572b6b2b,910c0ccccc8c9c4c |
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.