Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5637121A940AC3B418FA6C8B5725B7972B94385CA030698F9F583F55FEFC6DDA37048 |
|
CONTENT
ssdeep
|
768:KESAsIx/jFgRyGiSa6FuaR39ctRu4aulrpzUf7ZF:KQsIxuRpiSet04hlrpM7ZF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acdae8e4f2c0e643 |
|
VISUAL
aHash
|
ff9f0f0f07030303 |
|
VISUAL
dHash
|
2737ff7d6e67737f |
|
VISUAL
wHash
|
ff9f1f0f07030303 |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
2737ff7d6e67737f,1b39bf7f27333d3f |
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 114 techniques to evade detection by security scanners and make reverse engineering more difficult.