Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124227023A600DD2A4D9B92CCF1C09588415EC345FA3149CAB2B481FF7BD0DF1A9E97AD |
|
CONTENT
ssdeep
|
192:2pGuFo7KHFBdzUhhsxSeMcnthWeNWb+fMmUU8VCoss:Puy0zU5MfMmUFCoss |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46699689b93e439 |
|
VISUAL
aHash
|
f0f0f0f0f0f0fbff |
|
VISUAL
dHash
|
a62464e467072758 |
|
VISUAL
wHash
|
f0f0f0f0f0f000ff |
|
VISUAL
colorHash
|
0e000000038 |
|
VISUAL
cropResistant
|
072424e4e4662727,b2a2e23b3baaa4aa,0000000000000000,6d737178737d7f7f,0000343212300810 |
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.