Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FA3DF234259362B4437C3C0306A5B3BD1A6DA9BFAE70D415EDCC7FA2AF9CA0741A51D |
|
CONTENT
ssdeep
|
768:qbtpR4nXF6YjOpSpFlTC6rrW9wmZZiJGdsFQP14O2:utpR4nXBKpSpFl26vovnsFYx2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93056d13136d7d47 |
|
VISUAL
aHash
|
001f073e7e0f01c7 |
|
VISUAL
dHash
|
ddbd3ddcdcfca73f |
|
VISUAL
wHash
|
000f033f7f1f05cf |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdbd7cdcdcbca73f,ddbd3fdcdcfcbd77,594941c449454d90,4e8f91c1a3a6ceca,68010432320c21d4 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.