Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCD2A431E100273B529783DDBB14F72EE2E35649EE45091552FC936D87E7EA0EA3342A |
|
CONTENT
ssdeep
|
768:0T9Sky5NquSV+F1h8MkuKHv2nP7WdxGb6hoEqEwhYSOQpfuG3cH+YiaQc/VrwO8m:0T6SV+F1h8MkuKHvsDwxGbCoEXwhDOQq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343f53ab9299486 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d8c8ccdacc2c8200 |
|
VISUAL
wHash
|
00fc7c280604ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d0c8ccc0ca6c0c0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.