Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E632C7B81842B014F13D5CC9471372DD073832E8A925FAE6BE35857B206B65B2F91BE |
|
CONTENT
ssdeep
|
1536:Eiqm9g5JN8R9gHlmmLg/BLxhpWqN9zebVS5qRjzmM4Av4JbxjZokXo3uw:EiqQm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c1ceac743347363 |
|
VISUAL
aHash
|
0099000000ffffff |
|
VISUAL
dHash
|
b0323a324033232b |
|
VISUAL
wHash
|
0099801a00ffffff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
b0323a324022232b,0000000812303030 |
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 1099 techniques to evade detection by security scanners and make reverse engineering more difficult.