GHSA-PW58-QR35-GPR4
Vulnerability from github – Published: 2026-08-14 15:32 – Updated: 2026-08-14 15:32
VLAI
Details
Use of Hard-coded Credentials in the human resources component in Roskus Prospero Flow CRM before 5.15.9 allows unauthenticated remote attackers to authenticate as any employee onboarded through the standard flow, knowing only their email address, because the employee save controller falls back to the literal password "changeme" and the onboarding form provides no password field.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-19871"
],
"database_specific": {
"cwe_ids": [
"CWE-798"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-14T14:16:51Z",
"severity": "CRITICAL"
},
"details": "Use of Hard-coded Credentials in the human resources component in Roskus Prospero Flow CRM before 5.15.9 allows unauthenticated remote attackers to authenticate as any employee onboarded through the standard flow, knowing only their email address, because the employee save controller falls back to the literal password \"changeme\" and the onboarding form provides no password field.",
"id": "GHSA-pw58-qr35-gpr4",
"modified": "2026-08-14T15:32:49Z",
"published": "2026-08-14T15:32:49Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-19871"
},
{
"type": "WEB",
"url": "https://github.com/Roskus/prospero-flow-crm/commit/5cc01ed958db4ad0a026a8daa1c6a8bb98a43e66"
},
{
"type": "WEB",
"url": "https://secur0.com/en/cna/cve-list/cve-2026-19871-hardcoded-credentials-in-prospero-flow-crm-employee-onboarding"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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