| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.86 |
Summary
A vulnerability identified as problematic has been detected in djust-org djust up to 1.0.6. Affected by this issue is some unknown functionality. Performing a manipulation results in information disclosure. This vulnerability is known as CVE-2026-61588. Remote exploitation of the attack is possible. No exploit is available. You should upgrade the affected component.
Details
A vulnerability was found in djust-org djust up to 1.0.6. It has been classified as problematic. This affects some unknown functionality. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:
djust provides Phoenix LiveView-style reactive server-side rendering for Django with Rust-powered performance. Prior to version 1.0.7, when a Django `Model` instance is assigned to a public view attribute, djust serialized it to the client with no sensitive-field denylist — sending fields such as `password` (the hash), privilege flags (e.g. `is_staff` / `is_superuser`), tokens, and other PII to the browser. Because exposing model objects to templates is a normal djust pattern, this could leak credentials/PII without the developer realizing the full object crossed the wire. This is fixed in djust 1.0.7. Model serialization applies a secure-by-default sensitive-field denylist (password/hash/token/secret-style fields and known privilege flags are withheld) with an identity-subset fallback. As a workaround, keep `Model` instances on `_private` attributes and expose only the specific fields needed, until patched.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-61588 since 07/10/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
Upgrading to version 1.0.7 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-81304). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
- Product: https://github.com/djust-org/djust/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: djust 1.0.7
Timeline
07/10/2026 CVE reserved09/16/2026 VulDB entry created
09/17/2026 Advisory disclosed
09/17/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-61588 (🔒)
GCVE (CVE): GCVE-0-2026-61588
GCVE (VulDB): GCVE-100-406275
EUVD: 🔒
Entry
Created: 09/17/2026 00:30Updated: 09/17/2026 01:56
Changes: 09/17/2026 00:30 (63), 09/17/2026 01:56 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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