Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE23FC316800DC2B02CB5ADA967A162566B58784C113169DFEB1C7FE2BAFD7DDB33420 |
|
CONTENT
ssdeep
|
768:FxH2HV0msIx/jEL/eIiK7PpiOd3AItPMko9cLFwSpbkP92CTLDuiwe9BCLL5kukU:zH2HVhsIxAL/eIikPpiOdQItPMko9cLV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e86d95b64b49246d |
|
VISUAL
aHash
|
f9ffd3d991f7ffff |
|
VISUAL
dHash
|
3346b7932326d1e3 |
|
VISUAL
wHash
|
81ff010181937f7f |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
3346b7932326d1e3,0f336989d3261907,c3c1101e4e238716 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.