Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114635F306601DD3200EBC5C5A776972B23F58345CA534688BAF5C3EA9BDEC68DB73225 |
|
CONTENT
ssdeep
|
1536:JsIxNUQChDnpkK4YX/XhwMyutRY3vV4NfewLk1VMleJbpP7x:JpAhOdutRY3vV4NfewLk1VMleJbpP7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e846ba46b9c338c7 |
|
VISUAL
aHash
|
ff0000000000ffdf |
|
VISUAL
dHash
|
cd87a2c2c2a24d3e |
|
VISUAL
wHash
|
ff8070702000ffff |
|
VISUAL
colorHash
|
16c00000000 |
|
VISUAL
cropResistant
|
0009092121890164,800018001e1c3b3b,cc8fa1a2c2c2a2a3,c023924c7d361647 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.