Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170A255B28C44FA3F01A3D2E0E6B7375EABC5C24AC6130751A6E9434EAFD6C96CD32551 |
|
CONTENT
ssdeep
|
384:UryRrnVRNVXVEZ00kgs+dyuO3Gwh7UfHMIgeVPjeXN:UQrndVXVEZ5Mx5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdb263c69cb867a0 |
|
VISUAL
aHash
|
00db839bdb83fb00 |
|
VISUAL
dHash
|
22301632b2063212 |
|
VISUAL
wHash
|
00ff839b9bc3fb00 |
|
VISUAL
colorHash
|
070001c8000 |
|
VISUAL
cropResistant
|
e00b1a272527b388,22301632b2063212 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.