Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146124033F600CD2A89AB56C8F5C49688412DC346FB3148C6B16491FFBBC5DF069A979D |
|
CONTENT
ssdeep
|
192:HsPdoMczMxHMcnthWeNWbkfMmUU8VCo4K:MVoMHfMmUFCo4K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a424cb663edb3362 |
|
VISUAL
aHash
|
430303030307ffff |
|
VISUAL
dHash
|
87878e26a7a60006 |
|
VISUAL
wHash
|
430303070707ffff |
|
VISUAL
colorHash
|
0e440001000 |
|
VISUAL
cropResistant
|
dfaacefece96be9a,87878e26a7a60006,dbcccec8cccce8e8,c949d1c31b99e191 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.