Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171D20CB59024213B823759DB7EBB135A71FA827DDEB3191423FC87D81BCAD94E81640B |
|
CONTENT
ssdeep
|
384:NcBBHXeXJavf5hs475i8FvQ35s/q0HDKNYi/m1T:N6X8JGHs475i8FY35gq0sde1T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8bfbbc7808080fc |
|
VISUAL
aHash
|
ff80c070d0f0f000 |
|
VISUAL
dHash
|
7b1b1180348185bf |
|
VISUAL
wHash
|
ff80c078fcfcf001 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
006b632b2b63035a,864210040000f0ff,67178fc3e1721f6f,0f03030b8ea08127,10d94948494b4958,5b1391843081859f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)