Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1035144B58018DD2B848383F9B7F4575606D6D384CAC61500A7F5DBEA6BD7CD0DE09094 |
|
CONTENT
ssdeep
|
48:VcqygY0ct3/VFqQFjDM4Cc1TefaFUNlUZrGUV:5Pot3tF/fVEfaFUUZr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89193626d999dd66 |
|
VISUAL
aHash
|
00001c3c3c3c0000 |
|
VISUAL
dHash
|
f9def2b2f2b2cc31 |
|
VISUAL
wHash
|
00011f3f3f3f0f0f |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
f9def2b2f2b2cc31,fff3edefedede2cc,100834b2b2100800 |
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)