Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124153733421935260537C6D430A99B37D2A6DE5FFAA70A010FECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:seEpFLqjHetQ6A+mzTF2RyGjXqM0kCbsReVGGbTq7oqMfUOh:pH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92d2ed29d62b5649 |
|
VISUAL
aHash
|
ffff040e060703ff |
|
VISUAL
dHash
|
4933eccccceff324 |
|
VISUAL
wHash
|
ffdf0406040703ff |
|
VISUAL
colorHash
|
02002400400 |
|
VISUAL
cropResistant
|
4933eccccceff324,c43d9adcf9d2d9db |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.