Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C14077CFB50237FA1A396F1E0A74B2571AD961DD9234A30E378C87123CECA95C63958 |
|
CONTENT
ssdeep
|
1536:B9dld1ALAAmAwAFFvxm8M5OheI8nedx3oOeI8nedx3o8XDMgpAdVh585xjm4yKcs:xkyKckLDpMETjvmL6UbtnPO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc913564b1dece31 |
|
VISUAL
aHash
|
7e003c3c00301000 |
|
VISUAL
dHash
|
961761719260601a |
|
VISUAL
wHash
|
ffb93c3c3c381818 |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
10a954292bd00800,961761719260601a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.