Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BA3BC23421975274437C2C1346A6B3BD1E6D99BFAE70A010EECC7FA6AF9CA0741B15D |
|
CONTENT
ssdeep
|
1536:SehR3/ZzsCupm+5yeGMGs8o4wa200vgWPeAO2e3WKC3GLOpeRebi0umKx6/uZqBT:SUMCaZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1eb1b3ecdc0c2b1 |
|
VISUAL
aHash
|
2880f1f1f9e4623c |
|
VISUAL
dHash
|
d251c3c352ad96f0 |
|
VISUAL
wHash
|
2880f1f1faf4563c |
|
VISUAL
colorHash
|
39001640008 |
|
VISUAL
cropResistant
|
d251c3c352ad96f0 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.