CVE-2024-6893 (GCVE-0-2024-6893)

Vulnerability from cvelistv5 – Published: 2024-08-07 23:22 – Updated: 2024-08-08 13:14
VLAI Previdian
Title
Journyx Unauthenticated XML External Entities Injection
Summary
The "soap_cgi.pyc" API handler allows the XML body of SOAP requests to contain references to external entities. This allows an unauthenticated attacker to read local files, perform server-side request forgery, and overwhelm the web server resources.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-08 13:07 UTC
CWE
  • CWE-611 - Improper Restriction of XML External Entity Reference
Impacted products
Vendor Product Version
Journyx Journyx (jtime) Affected: 11.5.4
Create a notification for this product.
journyx journyx Affected: 11.5.4
    cpe:2.3:a:journyx:journyx:11.5.4:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2024-08-07 23:20
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant

Vulnerability ID: CVE-2024-6893

Status: Confirmed

Status Updated: 2026-04-30 02:00 CEST

Exploited: Yes


Timestamps
First Seen: 2026-04-30
Asserted: 2026-04-30

Scope
Notes: Journyx Unauthenticated XML External Entities Injection | Affected: Journyx / Journyx (jtime) | CVSS: 7.5 (HIGH) | EPSS: 0.32916 | Used in malware: unknown | Not yet in CISA KEV: True

Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: previdian


Details
Feed Previdian (previdian.com)
Title Journyx Unauthenticated XML External Entities Injection
Cve Id CVE-2024-6893
Vendor Journyx
Ghsa Id GHSA-9HXQ-VV35-9R5R
Product Journyx (jtime)
Added Date 2026-04-30T00:00:00.000Z
Cvss Score 7.5
Epss Score 0.32916
Previous Ids
Cvss Severity HIGH
Virtual Patch False
Cvss Estimated False
Epss Percentile 0.9831
Used In Malware unknown
Vulnerability Id CVE-2024-6893
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True

References

Created: 2026-10-02 09:09 CEST | Updated: 2026-10-02 09:09 CEST
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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