Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8124073B600DD2A8DAB56CCF2C08589451DC346FA3148C6B26091FF7BC5DF069A979D |
|
CONTENT
ssdeep
|
192:Qd8hX6Uux9l9McnthWeNWbCfMmUU8VCoCF:k8hXilHfMmUFCoCF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb23d32c7c827628 |
|
VISUAL
aHash
|
e7ffe7ff81c3ffff |
|
VISUAL
dHash
|
0f2b0f0833230002 |
|
VISUAL
wHash
|
8181818181fdfffe |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
0f2b0f0833230002,41000cb2b2b20c30,4100d4d401696101 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.