Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D093FAB51345663F104383F1D319B62BA385DA8DD7238DD3E3E88327A5C9CE89E254B6 |
|
CONTENT
ssdeep
|
768:bU3Gu9+ueuehG6B+qtQe1NGWy22KGVDN3Gu9+ueuehG6B+qtQe1NGWy22KGVDDef:Itje00Igw0LLNUbKCOPDa0cOx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb839f9fdfffffff |
|
VISUAL
dHash
|
cb2f3531b175300d |
|
VISUAL
wHash
|
80809c9c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2f3531b175300d,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)