Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9435C37E63579BD53CB41EDFB38AA06F3C14898D8868514B5D8929E13C7CC1A24BFA4 |
|
CONTENT
ssdeep
|
1536:aH+EsZ/8ANR4MA7DVRSMuBjRqMuBIDrpRXPZlQaQD9OehM+BrUgq4z:a4J4MAFR4RhDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb956ac295c5c495 |
|
VISUAL
aHash
|
f1818f8f8f818181 |
|
VISUAL
dHash
|
43195b5b5b494929 |
|
VISUAL
wHash
|
ff81cf8f8f818181 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
43195b5b5b494929,fef9f1e1f1e2e4e1,343038383cbc9889,619a9a9adadaca08 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)