Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD520E70E4801B3F19C38AD5A739B729F2D2A1C5C9820ACAD2F8579F8F5BF51CD12499 |
|
CONTENT
ssdeep
|
192:Hwi/Xi/mPlGxyl/w2Fg0LTTv5LgoGiDsTqOq6Ax29BxFUF:DPlGxo/lqm3v5UoGiQTqOqL29L+F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212eced11c5ecec |
|
VISUAL
aHash
|
2e0c0c0c0cffffff |
|
VISUAL
dHash
|
d899f9d859455929 |
|
VISUAL
wHash
|
0c04040c0cffffff |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
d899f9d859455929,71626c6673f5f7cf,101d5c3b1b544140 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)