Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F7309A83919F5265AB343A710EF14037378122B580D4D70B254FD9EB6BCC9AB06BFD9 |
|
CONTENT
ssdeep
|
768:ZfurhGmoS5mK+4x4eIP32yEZMLwypGCCdaMK6kyLw15l9xy+UOLmXzRVZ27Of:mzLx4TESLwsGSMBDLw1j90+1Lmjzl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cd6373234dcc687 |
|
VISUAL
aHash
|
26003c1800183c0b |
|
VISUAL
dHash
|
c40b61b268707373 |
|
VISUAL
wHash
|
66003c3c3c3c3f3f |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
ba9a4c444dad2e51,c40b61b268707373 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.