Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E047933421935274537C2D530A9577BE2969E4FFAA70A010EECD7FB2BEACA0745B019 |
|
CONTENT
ssdeep
|
1536:cDAIIo2CZRTk9PSGIhIEBa4MuoJDNS4BpD/1tGYQP+IfNvHSlhsxhb:6cywlND84Bp/a7r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc16636f12613c1e |
|
VISUAL
aHash
|
00ff8efe9f91f1ff |
|
VISUAL
dHash
|
483030143c33d32c |
|
VISUAL
wHash
|
0098889e9f91f1ff |
|
VISUAL
colorHash
|
07000200039 |
|
VISUAL
cropResistant
|
683234143c33d32c,00400cd2d2120000 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.