Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B1323306A945377DB9B7AC172740B2E79E98A96CE53048853FCE7298FC7C31D921E09 |
|
CONTENT
ssdeep
|
768:1JIESJeeGeeUeeaeeqeekeemeeQeedeeYeeiee/eedeeneexeeDee4eeIeeHboVw:1JIxeeGeeUeeaeeqeekeemeeQeedeeYO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a813fc52b982bac7 |
|
VISUAL
aHash
|
ff000005002430ff |
|
VISUAL
dHash
|
b0a065e9cb555523 |
|
VISUAL
wHash
|
ff00203f0035bcff |
|
VISUAL
colorHash
|
19400030000 |
|
VISUAL
cropResistant
|
6064e0f3f3606460,e0330b333b2b333b,b0e065e9ca5555f5,215ada6560da0000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.