Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D72517098455C3B1597D7D9A1F0A70633E1C22BCE8A2A0A57F84B8E1FE3C55DE342A7 |
|
CONTENT
ssdeep
|
192:5q/NKy49Gs/eyXIK8eA+c8ZkWoe88ZkWoeM8ZkWoev8ZkWoev:5q/Ncf/ePDelfDMh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993326cccd3333cc |
|
VISUAL
aHash
|
0000001818180000 |
|
VISUAL
dHash
|
100c12b2b2320c30 |
|
VISUAL
wHash
|
30303c3cfcfcf0f0 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
74339329659280a3,100c12b2b2320c30 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)