Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172A39833411979274037C6D530A55B3BE2E69A5FF9A70A010EECD7FA1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:501Lz4NP/y9svbliCdwzHlFtiuCa28y2O9:6tmAlC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73ab84db132c53a |
|
VISUAL
aHash
|
00002000787830ff |
|
VISUAL
dHash
|
cc90c8c8c0c0c4bc |
|
VISUAL
wHash
|
00007c7c78787eff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
828282828282a282,cc008881303080a0,cc16e8c8ccc0c0c4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.