Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1396176759001C9370173A1E4E6B6A71B26624315F7430BA1E2FC837A1AC8D68DF7EC8C |
|
CONTENT
ssdeep
|
48:+up8iOpEyqvTyITaHPmUUN4wHmEG1HflxJxWZzUBr7Z/Zl9:+u+OvTyITavzdfBE1ur7Zz9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8103012a7e7e7e7e |
|
VISUAL
aHash
|
003f7fffffffffff |
|
VISUAL
dHash
|
d1d0c10080000080 |
|
VISUAL
wHash
|
000303c3f0f0fcff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
d1d0d00080000080,8040410141414080,13ec5c5c83c4b231 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)