Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A820FE1D450E93B475381C4A676AF6B73E1C389CF021A1453F493AEABCEDA0CA115ED |
|
CONTENT
ssdeep
|
192:QEngkWzDJ1U2t8i0wkldEXwi3AZu9ZNzZ0ZNJKFahIqsdw7TRab78F:QFkkN710wwiQZ4ZdZ0ZyahLaw7TRe78F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92fe829204d6 |
|
VISUAL
aHash
|
ffc3c3c3c3c3ffff |
|
VISUAL
dHash
|
2b0b072b2f2710de |
|
VISUAL
wHash
|
c3c1c18181c1ff7f |
|
VISUAL
colorHash
|
06031000000 |
|
VISUAL
cropResistant
|
2b0b072b2f2710de,29d3c560606e7333,4c091b49e8cecdc4,40b0c8186848183e,d9c129a9f8da1eac,e7e1e9c7c9899699 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.