Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177125F33B600DC2A8E9B559CF2C49949411DC346FA3148CAB1A481FFBBD4DF069997AD |
|
CONTENT
ssdeep
|
192:wp3J8dpxdSewxKB7xlMcnthWeNWb/fMmUU8VCos:rpxdtGfMmUFCos |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e969e12cb43c3636 |
|
VISUAL
aHash
|
c1f99999999999ff |
|
VISUAL
dHash
|
032b2b333b33332f |
|
VISUAL
wHash
|
81b99999999999c7 |
|
VISUAL
colorHash
|
06181001000 |
|
VISUAL
cropResistant
|
032b2b333b33332f,c9b9a9e8a8889889,feedff5c58466a60 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.