Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BC2A531B1406A3B1197C3DAB762E32BF2E3924AEA87051493FC83AD47D7D54DE2351A |
|
CONTENT
ssdeep
|
384:9jSkZ35X8Ifw6XIYzVSY76F53BSc13YULmBt8yIYsOy2+y9BH4cCUIe:9jSkZ35LO939mP7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c622bd2dc546d3b2 |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
ccccccc4c0c0cc00 |
|
VISUAL
wHash
|
00006c7c3878ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
8880800458988000,ccc2ccccc4c0c0cc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.