Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1612408F4A3E8E2F8E141E3F8D73A5475366B29E9BE12C61883E45F45E6A105D8C64CC3 |
|
CONTENT
ssdeep
|
1536:MgI1YhQKIF5rVR8gYz5rVR8gYTnkjne12+OEnkjne12+OR+7lJ68+7lJ6451951R:MZ1gzp1H1R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
856b947a936bc661 |
|
VISUAL
aHash
|
080830706010007e |
|
VISUAL
dHash
|
d830e2c1caa4acfc |
|
VISUAL
wHash
|
1c1c387c7a56467e |
|
VISUAL
colorHash
|
1b208000248 |
|
VISUAL
cropResistant
|
34a5371a3ba676d7,f47c3ccc9cdc4852,d830e2c1caa4acfc |
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.
Pages with identical visual appearance (based on perceptual hash)