Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEE342B07A03553A71AF52DF92172B0D62C1E7CEDB925ED5A2F083188FF5D50BEA1290 |
|
CONTENT
ssdeep
|
3072:X65OSCiesrb+1KeqRJRwxDfqibdidhMXOGNBQr0:q5OSCiesrb+geqRJRwxDfqibdijMX+0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3126c643bd3ef04 |
|
VISUAL
aHash
|
00007c2c0cf8fc81 |
|
VISUAL
dHash
|
dcc8c9d95800c041 |
|
VISUAL
wHash
|
42007c7c0cfefee1 |
|
VISUAL
colorHash
|
30001038000 |
|
VISUAL
cropResistant
|
dcc8c9d95800c041 |
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 763 techniques to evade detection by security scanners and make reverse engineering more difficult.