Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1341433359D02A83313336CDA7166BB4571D7C10EE7072A81A2F88F89CFE7DADA0556C9 |
|
CONTENT
ssdeep
|
1536:3sW88wcR0RwRsR0RhRmR2ynTuCdV4+BipE0AELcmgLVOEgHak4j4n:8W88zKT0pEO6e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c12fb1c9f22e48ea |
|
VISUAL
aHash
|
007e00007e7b427e |
|
VISUAL
dHash
|
dbded0a28ad29298 |
|
VISUAL
wHash
|
017f00007e7f4aff |
|
VISUAL
colorHash
|
18200208008 |
|
VISUAL
cropResistant
|
fc6cf435b73149b6,d8d4a55d1d7bab2c,d3d425337366d6e9,97a9bd61c7d7d4d4,1111198f8f4edab2,a22622244664a4d9,9632766676b8b3e1,e6c6c6cb3a9273ea,3598898e86a43534,dbded0a28ad29298 |
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 154 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)