Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D326233B600DD2A4DAB568CF6C09689415DC349FB3148CAB1A091FF7BC4DF069AA79D |
|
CONTENT
ssdeep
|
192:d/3J6YcncCI06PYVmf9VpxLmXXMcnthWeNWbffMmUU8VCouz:FcncCI06PYVw9NmXUfMmUFCoO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0700f0f960faf70 |
|
VISUAL
aHash
|
00c0cecece0400ff |
|
VISUAL
dHash
|
e09c9c9c9c987c3e |
|
VISUAL
wHash
|
00c4cecece0e0eff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
6a6262f280715170,f9b9defefcfcf8f2,791f0c410c000000,60989c9c9c9c787c |
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.