Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E53B4709070BD3206BFB5E2A261AF1AB3E74387C69237E1A6F983980EC4D55FD1B451 |
|
CONTENT
ssdeep
|
768:K5URlEYDxVxD/W3h475tBzcRrANlPcqJo0Z6rB+ggtBu91qGzVgX:uUnBds475tBzBEIoc6kS8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb2049206b3e5f3f |
|
VISUAL
aHash
|
00ffffffffffff00 |
|
VISUAL
dHash
|
918000080c100201 |
|
VISUAL
wHash
|
002e0c0cc7ffff00 |
|
VISUAL
colorHash
|
07006000280 |
|
VISUAL
cropResistant
|
800000080c000000,08111189408080a0,0149491212494901 |
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 168 techniques to evade detection by security scanners and make reverse engineering more difficult.