Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163A39B33421975270137C2D530B95B7BE2969E5FFAA70A010EECD7FB2BEAC90745A019 |
|
CONTENT
ssdeep
|
768:hgTII4VmvjdeBblxZ/DFTksPhwfj9IhIEBa4QuViLw6Uz+bzv:UII/eBbLZRTksPSRIhIEBa4QuoLN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0e50d3c9da7e0e0 |
|
VISUAL
aHash
|
0300e0cfcfc0600c |
|
VISUAL
dHash
|
33848b0c8888c629 |
|
VISUAL
wHash
|
9300f0efcfc4e07c |
|
VISUAL
colorHash
|
380020002c0 |
|
VISUAL
cropResistant
|
33848b0c8888c629 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.