Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132234B766731B8A883DB91EEEB382D59A2C5449DF8C74410F5C99ADD23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aM+EsZ/80DVRnMjBCR7MjB3rpRXPZlQaQD9OehM+BrUgq4FJ:aNpR3RArpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3dc1c636939392 |
|
VISUAL
aHash
|
8381818183ffffff |
|
VISUAL
dHash
|
27373b2f25000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
07006200000 |
|
VISUAL
cropResistant
|
27373b2f25000000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.