Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3154733421935260537C6D430A95B3BD2A6DE5FFAE70A010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:/IeIpLq+QCQ6KScF2u2iybGyGDXqQkCAiReSRGGpTq/oqTUOt:oQm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9653ed29d6033653 |
|
VISUAL
aHash
|
ffff040e060303ff |
|
VISUAL
dHash
|
2833ececccbf6324 |
|
VISUAL
wHash
|
ffff0406040303ff |
|
VISUAL
colorHash
|
03002400400 |
|
VISUAL
cropResistant
|
2833ececccbf6324,b32eacafadadaeae,1114121413968ccc,e666190625111316 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.