Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199F266E2228C5B77D7BBB1C5C0B416CE3241E22C6521116627B677BCCBAFCF5AC4A095 |
|
CONTENT
ssdeep
|
768:Ayy+sodDmyy+sheyy+sysJBevsY0rvsRQFvs2WnvsXehvs4wrUyy+spbyy+sKs29:DeWz2TKONIcqRlT4RcRWbRJu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84ea792b88b1f98 |
|
VISUAL
aHash
|
f4e090f0d8fcffff |
|
VISUAL
dHash
|
c164231391105902 |
|
VISUAL
wHash
|
f0e08080c0f8ffff |
|
VISUAL
colorHash
|
06038000000 |
|
VISUAL
cropResistant
|
c164231391105902 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.