Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1161401B2C1A5983B02FBB1C2D6756B2F73C6830FCE93078582F983695996D94FD23065 |
|
CONTENT
ssdeep
|
3072:LhfEJ10U1UdB9E4kJyggE3Al2SDEY4farRz0/dVWBPzrOy9wXvfoT4fQ8:Lhfw10U1UdBmZgEQ4SDEw0/ozrOy9wXP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3d90df429f029f4 |
|
VISUAL
aHash
|
dbffefe7e7e7e701 |
|
VISUAL
dHash
|
3bc8dcdcccccc5cf |
|
VISUAL
wHash
|
017fefc766664301 |
|
VISUAL
colorHash
|
07400208040 |
|
VISUAL
cropResistant
|
3bc8dcdcccccc5cf,2828293870302828,191919199d9dd9b9,dada8989a9098989,322a2a2aaa2a2262,6a6e6a684383c3c3 |
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 121 techniques to evade detection by security scanners and make reverse engineering more difficult.