Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E239591B641A43A312BC2CFE6BEBA2C53D2C299CF0905C1E6F8533597E7C91F9E1254 |
|
CONTENT
ssdeep
|
384:jj9nerAMhsXSKuIImpufQnOPlNOs9SootKaVt+Z/:FoADCfVmpufgOPl7Ytvti |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba1363ee46441ee6 |
|
VISUAL
aHash
|
000f0700ffffffff |
|
VISUAL
dHash
|
5cdada5b2325272b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06400000c00 |
|
VISUAL
cropResistant
|
c88ca88c8ccc0d08,2b2527252526232b,6c5ada1adada1a5a |
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 634 techniques to evade detection by security scanners and make reverse engineering more difficult.