CVE-2026-85030 (GCVE-0-2026-85030)
Vulnerability from cvelistv5 – Published: 2026-09-03 01:30 – Updated: 2026-09-03 01:30
VLAI
EPSS
VEX
Title
HKUDS AI-Trader selfRegister API Endpoint routes_agent.py logic error
Summary
A vulnerability has been found in HKUDS AI-Trader up to d03ff6c056b32ced735adf7c19ed8175adb1c8df. The affected element is an unknown function of the file service/server/routes_agent.py of the component selfRegister API Endpoint. Such manipulation of the argument initial_balance leads to business logic errors. The attack may be launched remotely. This attack is characterized by high complexity. The exploitability is described as difficult. The exploit has been disclosed to the public and may be used. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. profit_percent_for_display() divides by INITIAL_CAPITAL + deposited, and challenge scoring's return_pct also normalises against the attacker-inflated starting_cash. So an inflated initial_balance does not yield artificial percent returns - it inflates the absolute cash/equity column only, which is a cosmetic/leaderboard-gaming concern in a simulated game.
Severity
CWE
- CWE-840 - Business Logic Errors
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/398295 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/398295/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-85030 | third-party-advisory |
| https://vuldb.com/submit/830272 | third-party-advisory |
| https://github.com/HKUDS/AI-Trader/issues/241 | issue-tracking |
| https://github.com/Dave-gilmore-aus/security-advi… | exploit |
| https://github.com/HKUDS/AI-Trader/ | product |
Impacted products
{
"containers": {
"cna": {
"affected": [
{
"cpes": [
"cpe:2.3:a:hkuds:ai-trader:*:*:*:*:*:*:*:*"
],
"modules": [
"selfRegister API Endpoint"
],
"product": "AI-Trader",
"vendor": "HKUDS",
"versions": [
{
"status": "affected",
"version": "d03ff6c056b32ced735adf7c19ed8175adb1c8df"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "davidgilmore (VulDB User)"
},
{
"lang": "en",
"type": "coordinator",
"value": "VulDB CNA Team"
}
],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability has been found in HKUDS AI-Trader up to d03ff6c056b32ced735adf7c19ed8175adb1c8df. The affected element is an unknown function of the file service/server/routes_agent.py of the component selfRegister API Endpoint. Such manipulation of the argument initial_balance leads to business logic errors. The attack may be launched remotely. This attack is characterized by high complexity. The exploitability is described as difficult. The exploit has been disclosed to the public and may be used. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. profit_percent_for_display() divides by INITIAL_CAPITAL + deposited, and challenge scoring\u0027s return_pct also normalises against the attacker-inflated starting_cash. So an inflated initial_balance does not yield artificial percent returns - it inflates the absolute cash/equity column only, which is a cosmetic/leaderboard-gaming concern in a simulated game."
}
],
"metrics": [
{
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"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P",
"version": "4.0"
}
},
{
"cvssV3_1": {
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"baseSeverity": "LOW",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N/E:P/RL:X/RC:R",
"version": "3.1"
}
},
{
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"baseSeverity": "LOW",
"vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N/E:P/RL:X/RC:R",
"version": "3.0"
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},
{
"cvssV2_0": {
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"vectorString": "AV:N/AC:H/Au:N/C:N/I:P/A:N/E:POC/RL:ND/RC:UR",
"version": "2.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-840",
"description": "Business Logic Errors",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-03T01:30:12.676Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
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"references": [
{
"name": "VDB-398295 | HKUDS AI-Trader selfRegister API Endpoint routes_agent.py logic error",
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/vuln/398295"
},
{
"name": "VDB-398295 | CTI Indicators (IOB, IOC, IOA)",
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/vuln/398295/cti"
},
{
"name": "CVE-2026-85030 | CVE Analysis and Report",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/cve/CVE-2026-85030"
},
{
"name": "Submit #830272 | HKUDS AI-Trader 1.0 Business Logic Errors",
"tags": [
"third-party-advisory"
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"url": "https://vuldb.com/submit/830272"
},
{
"tags": [
"issue-tracking"
],
"url": "https://github.com/HKUDS/AI-Trader/issues/241"
},
{
"tags": [
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],
"url": "https://github.com/Dave-gilmore-aus/security-advisories/blob/main/AI-Trader-Unrestricted%20Resource%20Consumption%20%26%20Broken%20Business%20Logic%20in%20AI-Trader%20(CVE-Pending).md"
},
{
"tags": [
"product"
],
"url": "https://github.com/HKUDS/AI-Trader/"
}
],
"timeline": [
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"time": "2026-09-02T00:00:00.000Z",
"value": "Advisory disclosed"
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{
"lang": "en",
"time": "2026-09-02T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2026-09-02T22:12:36.000Z",
"value": "VulDB entry last update"
}
],
"title": "HKUDS AI-Trader selfRegister API Endpoint routes_agent.py logic error",
"x_generator": [
"VulDB PVTS v202609"
]
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2026-85030",
"datePublished": "2026-09-03T01:30:12.676Z",
"dateReserved": "2026-09-02T20:07:26.182Z",
"dateUpdated": "2026-09-03T01:30:12.676Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-85030",
"date": "2026-09-03",
"epss": "0.00355",
"percentile": "0.28488"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-85030\",\"sourceIdentifier\":\"cna@vuldb.com\",\"published\":\"2026-09-03T13:06:19.590\",\"lastModified\":\"2026-09-03T17:25:25.113\",\"vulnStatus\":\"Deferred\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"A vulnerability has been found in HKUDS AI-Trader up to d03ff6c056b32ced735adf7c19ed8175adb1c8df. The affected element is an unknown function of the file service/server/routes_agent.py of the component selfRegister API Endpoint. Such manipulation of the argument initial_balance leads to business logic errors. The attack may be launched remotely. This attack is characterized by high complexity. The exploitability is described as difficult. The exploit has been disclosed to the public and may be used. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. profit_percent_for_display() divides by INITIAL_CAPITAL + deposited, and challenge scoring\u0027s return_pct also normalises against the attacker-inflated starting_cash. So an inflated initial_balance does not yield artificial percent returns - it inflates the absolute cash/equity column only, which is a cosmetic/leaderboard-gaming concern in a simulated game.\"}],\"affected\":[{\"source\":\"cna@vuldb.com\",\"affectedData\":[{\"vendor\":\"HKUDS\",\"product\":\"AI-Trader\",\"cpes\":[\"cpe:2.3:a:hkuds:ai-trader:*:*:*:*:*:*:*:*\"],\"modules\":[\"selfRegister API Endpoint\"],\"versions\":[{\"version\":\"d03ff6c056b32ced735adf7c19ed8175adb1c8df\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV40\":[{\"source\":\"cna@vuldb.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"4.0\",\"vectorString\":\"CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P/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\",\"baseScore\":2.9,\"baseSeverity\":\"LOW\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"attackRequirements\":\"NONE\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"vulnConfidentialityImpact\":\"NONE\",\"vulnIntegrityImpact\":\"LOW\",\"vulnAvailabilityImpact\":\"NONE\",\"subConfidentialityImpact\":\"NONE\",\"subIntegrityImpact\":\"NONE\",\"subAvailabilityImpact\":\"NONE\",\"exploitMaturity\":\"PROOF_OF_CONCEPT\",\"confidentialityRequirement\":\"NOT_DEFINED\",\"integrityRequirement\":\"NOT_DEFINED\",\"availabilityRequirement\":\"NOT_DEFINED\",\"modifiedAttackVector\":\"NOT_DEFINED\",\"modifiedAttackComplexity\":\"NOT_DEFINED\",\"modifiedAttackRequirements\":\"NOT_DEFINED\",\"modifiedPrivilegesRequired\":\"NOT_DEFINED\",\"modifiedUserInteraction\":\"NOT_DEFINED\",\"modifiedVulnConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedVulnIntegrityImpact\":\"NOT_DEFINED\",\"modifiedVulnAvailabilityImpact\":\"NOT_DEFINED\",\"modifiedSubConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedSubIntegrityImpact\":\"NOT_DEFINED\",\"modifiedSubAvailabilityImpact\":\"NOT_DEFINED\",\"Safety\":\"NOT_DEFINED\",\"Automatable\":\"NOT_DEFINED\",\"Recovery\":\"NOT_DEFINED\",\"valueDensity\":\"NOT_DEFINED\",\"vulnerabilityResponseEffort\":\"NOT_DEFINED\",\"providerUrgency\":\"NOT_DEFINED\"}}],\"cvssMetricV31\":[{\"source\":\"cna@vuldb.com\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N\",\"baseScore\":3.7,\"baseSeverity\":\"LOW\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"LOW\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":2.2,\"impactScore\":1.4}],\"cvssMetricV2\":[{\"source\":\"cna@vuldb.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:N/AC:H/Au:N/C:N/I:P/A:N\",\"baseScore\":2.6,\"accessVector\":\"NETWORK\",\"accessComplexity\":\"HIGH\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"PARTIAL\",\"availabilityImpact\":\"NONE\"},\"baseSeverity\":\"LOW\",\"exploitabilityScore\":4.9,\"impactScore\":2.9,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"cna@vuldb.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-840\"}]}],\"references\":[{\"url\":\"https://github.com/Dave-gilmore-aus/security-advisories/blob/main/AI-Trader-Unrestricted%20Resource%20Consumption%20%26%20Broken%20Business%20Logic%20in%20AI-Trader%20(CVE-Pending).md\",\"source\":\"cna@vuldb.com\"},{\"url\":\"https://github.com/HKUDS/AI-Trader/\",\"source\":\"cna@vuldb.com\"},{\"url\":\"https://github.com/HKUDS/AI-Trader/issues/241\",\"source\":\"cna@vuldb.com\"},{\"url\":\"https://vuldb.com/cve/CVE-2026-85030\",\"source\":\"cna@vuldb.com\"},{\"url\":\"https://vuldb.com/submit/830272\",\"source\":\"cna@vuldb.com\"},{\"url\":\"https://vuldb.com/vuln/398295\",\"source\":\"cna@vuldb.com\"},{\"url\":\"https://vuldb.com/vuln/398295/cti\",\"source\":\"cna@vuldb.com\"}]}}"
}
}
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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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