Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABD29572A0105A3B42E781CDB7627B2D63E74289DA45085686FDC3BD4F93E08ED33696 |
|
CONTENT
ssdeep
|
768:ierK6d9VTkcL0movOTwTu07sOy2+y9BH4cLIe:c6d9jLw9Tu07sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c70bb53af029b98a |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8e8c0c8c8c8e100 |
|
VISUAL
wHash
|
003c70e0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,49e8e0c0c8c89ce4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.