Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C0240E1C044CD3A432286D6FBF56B5FB592C349CF06098493FC42AB5BDAD60DA2279D |
|
CONTENT
ssdeep
|
192:Q47mohOhHW1BMwPmIM96pTv2IZD42IMTqQT6iaJi:QJQ5PDM96lTSMTn6iaJi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b787252d87392987 |
|
VISUAL
aHash
|
3fe7ffffff8181ff |
|
VISUAL
dHash
|
d9ccf078c8171760 |
|
VISUAL
wHash
|
0d677f7f7e00006c |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
d9ccf078c8171760,00000000005252da,7454120000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.