Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A82273F2D6C2E53341F790E022E63B2BA2E4514DE98368566BFD43A91BCFC91B04B118 |
|
CONTENT
ssdeep
|
192://6bKgsxMLOQYxs7BlXIivKPMjRWsnaMmD://6Gg4MLXYxs7TnPj+MmD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3286c612c7acb37 |
|
VISUAL
aHash
|
01070d0d6fed058f |
|
VISUAL
dHash
|
37bd59d9cbc9893c |
|
VISUAL
wHash
|
01070d0d2fef879f |
|
VISUAL
colorHash
|
11400038000 |
|
VISUAL
cropResistant
|
37bd59d9cbc9893c,62e666ceccdcd4f5,e88c0f8e8e0dcee0,b6374949494949b6,ed6cec9092d69680,706cec3c6efe6d7d,a280f633139380b2,379dedddc9c9cd3c,4d8e332b2b3b964c,4c8e17332b33864c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.