Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19EF28A60611425A743B794C0B4627F4E72A3E31BC70789613AFCE1591FDBEA0FA264E9 |
|
CONTENT
ssdeep
|
768:ERGaPqVSZ67bMKxcT5BmlAg4lGpI6ZgF50WOis/uNvI+Rw72ZS79W7Wv77u7U175:ERGaiaKxcT/mlAg4lGpI6ZgF50WOis/h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c73278acd93834 |
|
VISUAL
aHash
|
007e3e3e3e000000 |
|
VISUAL
dHash
|
cccce8f0f4f0a4ac |
|
VISUAL
wHash
|
7c7e7e7e7e180002 |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
d55dc5a4f191f070,7f7fffbf3fcfcf7f,cccce8f0f4f0a4ac |
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 172 techniques to evade detection by security scanners and make reverse engineering more difficult.