Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAA2086BE0C02A4B41C33162FF067D9BD47D891CF3759160DCBAC582A6958F9C2772EA |
|
CONTENT
ssdeep
|
384:oc4csFc1Qbk2MBrMnjUCYsHcRVGfIbZ1nf6+ls/h0n6jsthHG2l2Jjx9iEpy4NZ2:o1PFqQbNMRMnrYs8RVbbZ1ny5QbYJjvM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c819aef6d29aa9a8 |
|
VISUAL
aHash
|
ff00495cc0c0b0b0 |
|
VISUAL
dHash
|
0d31939190986161 |
|
VISUAL
wHash
|
ff0049dcc0ceb1b9 |
|
VISUAL
colorHash
|
31000680000 |
|
VISUAL
cropResistant
|
0d31939190986161 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.