Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DD3A3D55618038CA14789BCFF2FFE05131FB1AABA5586802A9EC26C95CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:cs0RQ7Hu7W+9VmxXBZkgc1ztskJahxl038mtaRSlFsR8MLqcfXFsR8MLqcMx0:D0RQ7HsWmVmxX7kgc1zts+aidaRD2H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9fc5d1c6c59092 |
|
VISUAL
aHash
|
ff8f8f83c3c3c3c3 |
|
VISUAL
dHash
|
7b3b3f372b3b1707 |
|
VISUAL
wHash
|
ff8387838383c3c3 |
|
VISUAL
colorHash
|
06e00010000 |
|
VISUAL
cropResistant
|
7b3b3f372b3b1707,dc58583a335858d8,0543838d87c2c2e0,fcf1fdfdd7dbcbbc,ce9878b892464646 |
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 145 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)