Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E326033A600DC2A4DAB65CCF2C09689415ED349FB3148CA71A481FF7BC4DF069A93AD |
|
CONTENT
ssdeep
|
192:tb3JqYceczchWVUJbtESuxljg6XMcnthWeNWbnfMmUU8VCoEZNh:pceczchWVUJb2Hj1IfMmUFCoEZ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c336bc1de341e31c |
|
VISUAL
aHash
|
0404646c686818ff |
|
VISUAL
dHash
|
ec2cc8c8c8d0f0b0 |
|
VISUAL
wHash
|
06046c6c7c7c1cff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
ec2cc8c8c8d0f0b0,e2e0b2b2803333fa,f79d67676666e48c,e060c0c080000000 |
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)