Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E530990630173AA1C334FF4F34A31A6D19F9748E5A6286DB3A9C251B2C3079C757DEA |
|
CONTENT
ssdeep
|
1536:9mhv0wA3Wns+Oyp8ChREZk6o3E4tJZBjqSutVCd8Z7U1c/0gUOCBkzrVUwt9ddrJ:bT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2e4e9195c43939 |
|
VISUAL
aHash
|
818181ffcfcfffff |
|
VISUAL
dHash
|
3333330f981f0616 |
|
VISUAL
wHash
|
818181c7cfcfc3e3 |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
3333330f981f0616,fbe4f4f460787066,32fcf879389888b3 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.