Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A13B524920971520BBA4BF4E97D420762875C9FF9B3B5A05E39F7E634C3FA0AD5E104 |
|
CONTENT
ssdeep
|
768:vPt7LHo7qZjispgNmzUoIE+GnIWnIjiD99jifsdaib983k96VkahHxPWDTKTne0w:vPtnHo7qZjispgNmzUoIE+GnIWnIjiD1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b372cc894ccc99b9 |
|
VISUAL
aHash
|
efe7c7c4476fffff |
|
VISUAL
dHash
|
8c0f8d099d99ae36 |
|
VISUAL
wHash
|
67c3c3c0054f6fc3 |
|
VISUAL
colorHash
|
07200048040 |
|
VISUAL
cropResistant
|
8c0f8d099d99ae36,c749835dc0c51711,0008303232100800,0d070d0781d14d47 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)