Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F930BB512956A3F104383F0D318F52AA395DA4AD7738D42D3E8833BA5C9CFCDD285A6 |
|
CONTENT
ssdeep
|
768:vSqvERsMEE8fEkrEEjQcrn0Uckc08Pb0qvERsMEE8fEkrEEjQcrn0Uckc08PbgBj:rWtB90IgA06FwUbKCOUmk0iO2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb939f9fdfffffff |
|
VISUAL
dHash
|
cb2e3531b175304d |
|
VISUAL
wHash
|
00001c1cdcfcffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3531b175304d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)