Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA3321302844EE3341DBAAD45276572A72F58388C6231689FAF9C3F95FDBC69DA33114 |
|
CONTENT
ssdeep
|
768:l995sIx/jmad3HGPlpV0w0PaFl+reApY092hn0kTzEevXUQ09Uf79u:DsIxKad3HGNpaw0PaFl+ZLbQ0a79u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93f46e94913d96c4 |
|
VISUAL
aHash
|
00002e0e7e3e0000 |
|
VISUAL
dHash
|
9cc3dc98dcdc0301 |
|
VISUAL
wHash
|
ff606e4e7e7e0001 |
|
VISUAL
colorHash
|
31007008000 |
|
VISUAL
cropResistant
|
0000000000000000,0000000000000000,9cc3dc98dcdc0301 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.