Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA34317139435826619F51DFA127170E62C2D3CAEA922BD477F0C32A9FF5C90FEA2254 |
|
CONTENT
ssdeep
|
6144:WXTQwBoR1EFX6UYQ5Ixf3NgxFLZMVD0zvk:/Q5Ixf3Nevk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d87cf657a3830389 |
|
VISUAL
aHash
|
008000000018ffff |
|
VISUAL
dHash
|
04307070f0d03132 |
|
VISUAL
wHash
|
80c018383c3cffff |
|
VISUAL
colorHash
|
32000000438 |
|
VISUAL
cropResistant
|
8200090557034002,f02034223b1bb082,d420327070f0f0d0 |
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 105 techniques to evade detection by security scanners and make reverse engineering more difficult.