Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE334B726731B8A983DB51EEEB382D5AA2C5449DECC74440F6C9968D23C7CD12287BB4 |
|
CONTENT
ssdeep
|
1536:a1+EsZ/8BoDVRrMjBaRpMjBrDrpRXPZlQaQD9OehM+BrUgq4z:aq5RRRQDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af6994d0d096d5d1 |
|
VISUAL
aHash
|
8381818181818383 |
|
VISUAL
dHash
|
2323232b0b2b2b2b |
|
VISUAL
wHash
|
ff8383838383878f |
|
VISUAL
colorHash
|
1a0000001c0 |
|
VISUAL
cropResistant
|
2323232b0b2b2b2b,6131210d2d37ffff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.