Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135E283706228DD2E55C7C2E8C735737B32598287DA4B132D9BF983788A8BDD5DD36084 |
|
CONTENT
ssdeep
|
384:Qyl9kR17Km6ksrshs1LTB/xsfbqs26fCertV/VuD5p1yxXTgAdlvDHuKywv:Z9kRsbkYuZfGcV/Qtp10P1pv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
994c8cb3e6229be6 |
|
VISUAL
aHash
|
00181800ffffffff |
|
VISUAL
dHash
|
32b2b2324d4a4c4c |
|
VISUAL
wHash
|
00180800e7efffff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0000140c04140000,cc8c9e8ecc9c4d4d,4d4c484a584c4c4c,24b2b2b2b2b2b210 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)