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HUMANIST DHRS CVE-2026-14838

| EUVDEUVD-2026-52652 HIGH
Use of GET Request Method With Sensitive Query Strings (CWE-598)
2026-08-04 TR-CERT GHSA-chm9-7crh-67fc
7.4
CVSS 3.1 · Vendor: TR-CERT
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Position to access logs, Referer stream, or network path
  2. Delivery
    Victim authenticates to HUMANIST DHRS via GET request
  3. Exploit
    Session token appears in URL query string
  4. Execution
    Attacker harvests token from logs, Referer header, or intercepted traffic
  5. Persist
    Attacker replays stolen session token
  6. Impact
    Full unauthorized access as victim user

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V4 - API and Web Service Sensitive data in POST not GET
Exploitation Conditions

Exploitation requires that the attacker obtain the session token from one of the surfaces where GET query strings are exposed: server-side access logs (requires read access to log files or a log aggregation system), HTTP Referer headers forwarded when a user navigates from the HR application to an external domain (the external domain receives the full URL including the token), browser history accessible on the user's endpoint, or a network intermediary (proxy, MITM) positioned between client and server. The application must be running in version 26.0 and the attacker must be able to use the captured token before session expiry. Authentication to the HR application itself is NOT required for the attacker - but they must be in one of the above privileged positions to harvest the token. The CVSS AC:H rating directly encodes these enabling conditions. There is no evidence that exploitation is possible in a fully default-isolated deployment where log access is restricted and no external Referer targets are loaded.

Impact

The official CVSS 3.1 score of 7.4 (High) with vector AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N reflects a nuanced picture: while the attack requires no authentication or user interaction, AC:H explicitly signals that exploitation is not straightforward and requires specific enabling conditions such as access to log infrastructure, a network interception position, or control of a page that receives Referer headers from the HR application. No EPSS score was provided in the input, so quantitative exploitation probability cannot be cited. This vulnerability is not listed in the CISA KEV catalog and no public exploit or proof-of-concept has been identified. Given the niche, regional deployment footprint of this Turkish HR product, mass exploitation is unlikely; however, insider threats (e.g., a system administrator with log access) or targeted attacks against organizations using HUMANIST DHRS present realistic risk. The High C and I scores are appropriate - a stolen session token grants full impersonation of the victim user. EPSS data is missing and must be confirmed separately.

Exploit ScenarioDerived

An attacker with read access to the application's web server or proxy access logs (e.g., a system administrator or a compromised log aggregation service) extracts a valid session token from a logged URL query string belonging to an authenticated HR employee or administrator. The attacker replays that token via a crafted request, gaining full access to the victim's HUMANIST DHRS session, including HR records, payroll data, and employee PII. No public proof-of-concept has been identified, but the technique requires no specialized tooling.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available 0.3% exploitation probability (EPSS)

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AnalysisAIv1 – Aug 04, 2026

Session hijacking is possible in HUMANIST Digital Human Resources (versions 26.0 through before 26.1) due to sensitive session tokens being transmitted as GET request query string parameters. Exposure occurs through server access logs, browser history, and HTTP Referer headers leaking to downstream systems. No public exploit code has been identified at time of analysis, and no CISA KEV listing exists, but the CVSS integrity and confidentiality impact ratings are both High, reflecting full session takeover potential.

RemediationAI

Upgrade HUMANIST Digital Human Resources to version 26.1, which resolves this issue per the vendor-confirmed affected range (26.0 before 26.1). Consult the TR-CERT advisory at https://siberguvenlik.gov.tr/guvenlik-bildirimleri/detay/tr-26-0737 for patch acquisition and deployment guidance. As an immediate compensating control prior to patching, configure web server and reverse proxy log access controls to restrict who can read access logs containing URL query strings, reducing insider log-harvesting risk; note that this does not prevent Referer header leakage to external domains. Additionally, consider implementing a web application firewall rule to detect and alert on session token patterns appearing in GET request URLs. Rotating all active session tokens immediately after applying the patch is recommended to invalidate any previously exposed tokens. An exact patched build version beyond '26.1' was not independently confirmed in the available references.

Affected VersionsENISA

HUMANIST Digital Human Resources 26.0 <26.1

Affected Packages

euvd humanist_digital_human_resources fix: 26.1

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

CWE-598 (Use of GET Request Method with Sensitive Query Strings) describes the root cause: the application encodes session identifiers or other authentication tokens directly into URL query strings via HTTP GET. This violates secure session management principles because URLs are routinely recorded in web server access logs, reverse proxy logs, CDN logs, browser address bar history, operating system browser history files, and - critically - transmitted to third-party domains in the HTTP Referer header when a user navigates away. The affected product is identified by CPE cpe:2.3:a:bilin_software_and_informatics_consultancy_inc.:humanist_digital_human_resources:*:*:*:*:*:*:*:* and is developed by Bilin Software and Informatics Consultancy Inc., a Turkish HR software vendor. The Digital Human Resources platform is an enterprise HR management system. The CVSS vector AV:N/AC:H indicates the flaw is remotely triggerable but requires specific conditions - typically log access, a MITM position, or a Referer-receiving destination - to harvest the exposed token.

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Severity by source

Vendor (TR-CERT) PRIMARY 7.4 HIGH
AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
vuln.today AI 7.4 HIGH

AC:H because token harvesting requires log access, Referer interception, or MITM; PR:N since no application authentication needed by the attacker; no availability impact.

3.1 AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
4.0 AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N

Primary rating from Vendor (TR-CERT).

CVSS VectorVendor: TR-CERT

Attack Vector
Network
Attack Complexity
High
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
None

Lifecycle Timeline

2
Patch available
Aug 04, 2026 - 10:01 EUVD
CVE Published
Aug 04, 2026 - 08:42 cve.org
HIGH 7.4

DescriptionCVE.org

Use of GET request method with sensitive query strings vulnerability in Bilin Software and Informatics Consultancy Inc. HUMANIST Digital Human Resources allows Session Hijacking.

This issue affects HUMANIST Digital Human Resources: from 26.0 before 26.1.

Executive ViewAI

Why It Matters

HUMANIST Digital Human Resources (versions 26.0 through 26.0.x) exposes authenticated HR sessions to unauthorized takeover through session tokens transmitted in unencrypted URL parameters, leaked via server logs, browser history, and HTTP Referer headers to downstream systems. Organizations deploying vulnerable versions face direct unauthorized access to comprehensive employee personal and compensation records, triggering mandatory regulatory breach notification and potential compliance violations under GDPR, CCPA, and similar frameworks.

Business Impact: High
Compensating Controls

No vendor-released patch identified at time of analysis. Interim mitigations: strict HTTPS enforcement for all HUMANIST traffic, implementation of secure session cookie flags (HttpOnly, Secure, SameSite), suppression of HTTP Referer headers in downstream system calls, database-level access controls restricting HR record retrieval scope, session token rotation with maximum 8-hour validity periods, mandatory multi-factor authentication for all HR system access, and real-time alerting on anomalous session login patterns.

Threat Intelligence Overview

EPSS Score
0.3%
Top 83% exploitable
Prevalence
Low
regional Turkish HR SaaS product, limited international footprint
Social Media
1
Sightings
Data Quality
6 sources
Confidence: High

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.3%
Patch available Yes
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
No
Human Impact
High
Technical Impact
Total

Priority Score

37
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +37
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.

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