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CVE-2021-44207 (GCVE-0-2021-44207)

Vulnerability from cvelistv5 – Published: 2021-12-21 17:45 – Updated: 2025-10-21 23:15
VLAI CISA Previdian
Summary
Acclaim USAHERDS through 7.4.0.1 uses hard-coded credentials.
SSVC
Exploitation: active Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-11 04:55 UTC
CWE
  • n/a
  • CWE-798 - Use of Hard-coded Credentials
References
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant

Vulnerability ID: CVE-2021-44207

Status: Confirmed

Status Updated: 2024-12-23 00:00 UTC

Exploited: Yes


Timestamps
First Seen: 2024-12-23
Asserted: 2024-12-23

Scope
Notes: KEV entry: Acclaim Systems USAHERDS Use of Hard-Coded Credentials Vulnerability | Affected: Acclaim Systems / USAHERDS | Description: Acclaim Systems USAHERDS contains a hard-coded credentials vulnerability that could allow an attacker to achieve remote code execution on the system that runs the application. The MachineKey must be obtained via a separate vulnerability or other channel. | Required action: Apply mitigations per vendor instructions or discontinue use of the product if mitigations are unavailable. Please contact the product developer for support and vulnerability mitigation. | Due date: 2025-01-13 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://www.acclaimsystems.com/#contact ; https://www.tnatc.org/#contact ; https://nvd.nist.gov/vuln/detail/CVE-2021-44207

Evidence

Type: Vendor Report

Signal: Successful Exploitation

Confidence: 80%

Source: cisa-kev


Details
Cwes CWE-798
Feed CISA Known Exploited Vulnerabilities Catalog
Product USAHERDS
Due Date 2025-01-13
Date Added 2024-12-23
Vendorproject Acclaim Systems
Vulnerabilityname Acclaim Systems USAHERDS Use of Hard-Coded Credentials Vulnerability
Knownransomwarecampaignuse Unknown

References

Created: 2026-02-02 12:26 UTC | Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant

Vulnerability ID: CVE-2021-44207

Status: Confirmed

Status Updated: 2024-12-23 00:00 UTC

Exploited: Yes


Timestamps
First Seen: 2024-12-23
Asserted: 2024-12-23

Scope
Notes: KEVIntel entry: Acclaim USAHERDS through 7.4.0.1 uses hard-coded credentials. | Affected: Acclaim Systems / USAHERDS | CVSS: 8.1 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: False

Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel


Details
Feed KEVIntel (kevintel.com)
Title Acclaim USAHERDS through 7.4.0.1 uses hard-coded credentials.
Vendor Acclaim Systems
Product USAHERDS
Added Date 2024-12-23T00:00:00.000Z
Cvss Score 8.1
Epss Score None
Cvss Severity HIGH
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev False

References

Created: 2026-06-23 14:06 UTC | Updated: 2026-07-10 06:14 UTC
Show details on NVD website

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}



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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.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Detection rules are retrieved from Rulezet.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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