Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE742ABC130116BDB06B87E5F950F3AEA12FD298EA93C94DF3ACC28127C6C98CD55594 |
|
CONTENT
ssdeep
|
1536:OUT0hdOc4NFfI/6P0rl1HoknsWiXAuq0WoEF3G+J4G3WVqAbGa8lP0rl1HoknsWR:DT0cPPqoKG+J0qAbGTVPzYPluSAK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81cf7b7860786a95 |
|
VISUAL
aHash
|
803f3f001f005f02 |
|
VISUAL
dHash
|
4b69f0d1f8f1f8de |
|
VISUAL
wHash
|
803f7f005f155f07 |
|
VISUAL
colorHash
|
180010000c0 |
|
VISUAL
cropResistant
|
972a8f51fbcfd757,73cde64aecececec,d9970eecb2f8e868,d85864f4c88871b2,29a9298949cfcecc,54d5c6d6d0646666,a733194e44e0e2e0,ae2ecccc098acccc,79a4bcf4e0f06032,4b69f0d1f8f1f8de |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.