Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EB17232820868374F7194D4F7A5B74F99838402CA519A60DAFC47FC6BE5EE6C4B7A34 |
|
CONTENT
ssdeep
|
96:MloGoZMoYWos1RqD4B42CfhoSkTpGkG91AXKUZFnC:MmRZ/2s1fB42CfhoVF1GHLUZpC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6f87ca4434db649 |
|
VISUAL
aHash
|
f0f0202077777020 |
|
VISUAL
dHash
|
a08064c9ccece1ec |
|
VISUAL
wHash
|
f8f8307478777070 |
|
VISUAL
colorHash
|
00001000180 |
|
VISUAL
cropResistant
|
0000001010000080,a08064c9ccece1ec |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.