Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5A33136A23A1413515FB2D4F2648B193293CB9AC7534BF662B812F6BBCDCB56D1318C |
|
CONTENT
ssdeep
|
1536:nnJ2PHSrxcrPksGJB5HerQGJrgGIx3rI/5tzqjJwwaqrUrmc96WrpZWbrgxHg4Iw:/8PkCQGZgJbICxWDE4IlbR7MdYWpVQpq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f14c3b32c99c4d36 |
|
VISUAL
aHash
|
c181f1ffc7c7c76f |
|
VISUAL
dHash
|
232b23d28a8a88da |
|
VISUAL
wHash
|
c18130fec7c7466e |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
232b23d28a8a88da,099965f1330f2b26,97c56931f1e1a0ac,38397974d54c6267 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.