Amidaware Tactical RMM up to 1.6.2 cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.4 | $0-$5k | 1.47+ |
Summary
A vulnerability marked as problematic has been reported in Amidaware Tactical RMM up to 1.6.2. This affects an unknown function. The manipulation leads to cross site scripting. This vulnerability is uniquely identified as CVE-2026-121578. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as problematic, has been found in Amidaware Tactical RMM up to 1.6.2. This issue affects an unknown code. The manipulation with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Impacted is integrity. The summary by CVE is:
Tactical RMM contains a stored XSS vulnerability caused by improperly validated input or encode output for various fields, enabling HTML/JavaScript to be stored in the tools database, which is then executed in the browsers of users when they view content containing the infected objects, leading to account takeover or code execution.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-121578 since 11/03/2026. The exploitation is known to be easy. The attack may be initiated remotely. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
11/03/2026 Advisory disclosed11/03/2026 CVE reserved
11/03/2026 VulDB entry created
11/03/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CNA: certcc
CVE: CVE-2026-121578 (🔒)
GCVE (CVE): GCVE-0-2026-121578
GCVE (VulDB): GCVE-100-430427
Entry
Created: 11/03/2026 16:54Changes: 11/03/2026 16:54 (52)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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