Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D9110B16249D85F44A182E48BB6FB195B9A8244C7230F0457F84BEE69C7DA1CD332ED |
|
CONTENT
ssdeep
|
48:q+djVjg3AiEIRGCdL/Sx17r0nLc7VLQWl/jd0gY24aFl0mcFCAh40Mfiq+Tkz6ai:D9SuCJ+19jY24a6ifNXA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63c91e39c0ec76c |
|
VISUAL
aHash
|
e1001010e0fc7e7e |
|
VISUAL
dHash
|
019161ebc2c8c4f0 |
|
VISUAL
wHash
|
f7001010e0fc7eff |
|
VISUAL
colorHash
|
18000001640 |
|
VISUAL
cropResistant
|
36d636c6848c6cc5,b2b2922798dcecaa,019161ebc2c8c4f0 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)