Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CD1646250682A37510343C8B392BB7F62C78341CE092B0586F957EA4BFBDD4EF6B159 |
|
CONTENT
ssdeep
|
96:hmctqGwhYWu6rRSgxkYxBE+9EnuNgizBTCHlgR61rBxJ5eCMH1TpH:FLvJstBESEuN8HvFeCk1Tt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92966d69936992d3 |
|
VISUAL
aHash
|
00043e2e3e0e0000 |
|
VISUAL
dHash
|
ddecececccdcb3b8 |
|
VISUAL
wHash
|
641e7e7f7e3e0800 |
|
VISUAL
colorHash
|
31400006000 |
|
VISUAL
cropResistant
|
4b698c3330610dcc,ddecececccdcb3b8 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)