Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C23B63148C56F6B51D383CDA350A64BE396C58CE67A8549F9EB831E0BC5DC4C82EF98 |
|
CONTENT
ssdeep
|
768:mS6t/TwxWYDiY4EpU8IE/XrS752M4sxO/emaTydQvngsnZWJnD/B7gtv:mS6t/TwxW21ppTjS7bO/e9n/png/B7gt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeacaeac896 |
|
VISUAL
aHash
|
fd0606060606fff9 |
|
VISUAL
dHash
|
61ccecccccdc1b23 |
|
VISUAL
wHash
|
ff0606060606fff9 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0021496161490152,96d6e8b094710f8e,84181b2c23333313,f471564953679e35,ccccecccccecccec,f0f0b0a2a6a6ce9f |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)