Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B243A13823583F2C65078BE8F7A9F728426D9295F62AD56CE6BC127116C7C84F8376C4 |
|
CONTENT
ssdeep
|
1536:RgOrTTTTSF7BHurtReUFEte7KTTTTg3TTTT6YTTTTEFXr38kkgc0:Nal |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd2b26422d3a3e47 |
|
VISUAL
aHash
|
00fcd89cfcfcfcfe |
|
VISUAL
dHash
|
61283a3a38282420 |
|
VISUAL
wHash
|
00fc9898d8fcdc9e |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
49283a3a28382422,000028b2b2320c10,81804000000062e0 |
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.