Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C1222F2D5D3D93741F6E0E029FA6FA632E81268E5028591ABFC836C0BCEC51B44F509 |
|
CONTENT
ssdeep
|
96:KuMAw38/KG0IiZi2Sxia875R7iGUhWaxsLMz1ob92rlcoyzcpcw/0kbGyVRrMsLD:9o38ZgsxMLG3xsqlXIif3MS1h9nt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94596b3665acc237 |
|
VISUAL
aHash
|
000c1d3f0efe37bf |
|
VISUAL
dHash
|
7339d9d25ce46c4e |
|
VISUAL
wHash
|
000c0d3e0e7e37ff |
|
VISUAL
colorHash
|
19400030000 |
|
VISUAL
cropResistant
|
e252d6587899993c,4d4caa6b6da85353,b6b24d4d4949b2b6,f08e8e8e8ecc8ed0,0024993232d82200,6339d9f25ce4e44e |
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.