Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1380398F38298643F451357C1BA88BB685396811ECF830EDA6BF8A375C742CAF9C4155E |
|
CONTENT
ssdeep
|
768:SkiF95PwjRsiMYhm5T59nOf7J5MELM5Yq0C:0F9AsiMYhm5T59nOf7J5ti0C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8636747474f183c |
|
VISUAL
aHash
|
00cf8fdfdfdfdfdf |
|
VISUAL
dHash
|
483e32323a32323a |
|
VISUAL
wHash
|
00838b9b8b9f8f8f |
|
VISUAL
colorHash
|
06000018040 |
|
VISUAL
cropResistant
|
1c3e33b23a323a3a,0020c8c8c8204000,00c020202020c000,2b2b2028575638b3,f171342e5678324c,e8e8f0b1d4bd3c76 |
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 715 techniques to evade detection by security scanners and make reverse engineering more difficult.