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Security audit

Amazon 产品升级规划

Security checks for vulnerabilities and agentic risk

Overview

The skill is mostly a disclosed ARI Amazon review-analysis integration, but it can spend account credits or change ongoing account behavior with weak or server-side confirmation controls.

Install only if you are comfortable giving this skill an ARI API key and letting it access your ARI account data, create reports, export files, and manage monitoring-related settings. Before using it, set autoconfirm to always ask if you want per-action spending control, use explicit “only quote, do not execute” wording for pricing checks, and be careful with schedule/watch/competitor changes because they can affect future collection behavior and costs.

Vulnerability Patterns
  • Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
Findings (1)

T09 · Insecure Skill Coding Practices

Warning
Location
scripts/ari.py:1173
Finding
Specialized Product-Upgrade Workflow Restrictions Can Be Bypassed## Vulnerability Details **File Location**: `scripts/ari.py`, lines 1173–1174 and 1654–1655 **Vulnerability Type**: Specialized workflow scope-validation bypass **Risk Level**: Medium The Skill declares a fixed `product/upgrade` operational contract in `skill-defaults.json` and `references/operation-workflow.md`. However, the CLI accepts user-controlled `--workflow` and `--focus` arguments and gives those arguments precedence over the fixed values. ### Vulnerable Code ```python def operation_payload(args): defaults = operation_defaults() workflow = (getattr(args, "workflow", None) or defaults.get("workflow") or "").strip() focus = (getattr(args, "focus", None) or defaults.get("focus") or "").strip() if not workflow or not focus: return None, error_obj( "ARI_VALIDATION_ERROR", 0, "运营工作流缺少 workflow/focus", "通用 Skill 请显式传 --workflow 和 --focus;专属 Skill 会内置固定值。") request_id = (getattr(args, "request_id", None) or "").strip() or str(uuid.uuid4()) return { "requestId": request_id, "workflow": workflow, "focus": focus, "asin": args.asin.upper(), "site": args.site or defaults.get("defaultSite") or "amz_us", "competitorAsin": (getattr(args, "competitor", None) or "").upper(), }, None ``` The parser explicitly exposes the override parameters: ```python def add_operation_args(parser, confirm=False): parser.add_argument("--asin", required=True) parser.add_argument("--site", default="amz_us", choices=SITES) parser.add_argument("--workflow") parser.add_argument("--focus") parser.add_argument("--competitor") parser.add_argument("--request-id", default="") if confirm: parser.add_argument("--confirm", action="store_true", help="确认按报价扣点并生成;未提供时只返回报价") ``` The intended fixed configuration is: ```json { "schemaVersion": 1, "channel": "product-upgrade", "workflow": "product", "focus": "upgrade", " ...[truncated 2910 chars]
Remediation
## Remediation Suggestions 1. **Make specialized defaults authoritative.** If `skill-defaults.json` defines `workflow` and `focus`, use those values unconditionally: ```python defaults = operation_defaults() fixed_workflow = (defaults.get("workflow") or "").strip() fixed_focus = (defaults.get("focus") or "").strip() if fixed_workflow and fixed_focus: workflow = fixed_workflow focus = fixed_focus else: workflow = (getattr(args, "workflow", None) or "").strip() focus = (getattr(args, "focus", None) or "").strip() ``` 2. **Reject conflicting arguments instead of silently ignoring them.** If callers provide values different from the fixed configuration, return a validation error: ```python supplied_workflow = (getattr(args, "workflow", None) or "").strip() supplied_focus = (getattr(args, "focus", None) or "").strip() if fixed_workflow and supplied_workflow and supplied_workflow != fixed_workflow: return None, error_obj( "ARI_FIXED_WORKFLOW_VIOLATION", 0, "This specialized Skill only permits the configured workflow." ) if fixed_focus and supplied_focus and supplied_focus != fixed_focus: return None, error_obj( "ARI_FIXED_FOCUS_VIOLATION", 0, "This specialized Skill only permits the configured focus." ) ``` 3. **Remove `--workflow` and `--focus` from specialized builds.** Retain these options only in a separate generic CLI distribution where arbitrary supported combinations are intentionally allowed. 4. **Validate twice.** Verify the fixed workflow and focus both before requesting a quote and immediately before submitting a confirmed run. This prevents later refactoring from introducing a quote/run mismatch. 5. **Add server-side enforcement.** Include the Skill channel or variant identity in the authenticated request and have the server reject workflow/focus combinations that are not permitted for that channel. Client-side re ...[truncated 449 chars]
Vulnerability Patterns
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Taint TrackingDirect Taint Flow, Variable-Mediated Taint Flow, Credential Exfiltration Chain
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
Findings (23)

Tainted flow: 'req' from os.environ.get (line 1459, credential/environment) → urllib.request.urlopen (network output)

Critical
Category
Data Flow
Content
headers = {"Authorization": "Bearer " + require_key(), "User-Agent": user_agent()}
    try:
        req = urllib.request.Request(url, headers=headers, method="GET")
        with urllib.request.urlopen(req, timeout=TIMEOUT_SEC) as resp:
            note_release(resp.headers)
            ctype = resp.headers.get("Content-Type", "")
            body = resp.read()
Confidence
81% confidence
Finding
request_download() sends the Bearer API key to a destination derived from environment-controlled base_url(). Although there is a two-variable opt-in, a compromised shell/session or unsafe wrapper could still enable both variables and redirect credentialed export/download traffic to an attacker-controlled host. In a skill context that handles paid operations and account-scoped data, credential redirection would expose both the API key and potentially exported report/review content.

Lp3

Medium
Category
MCP Least Privilege
Confidence
89% confidence
Finding
The skill instructs use of shell, network, environment variables, and local file writes to set up and persist an ARI API key, but it declares no permissions. That mismatch prevents proper user/admin review of the actual capability surface and is especially risky because the workflow includes credential storage and paid external API operations.

Tp4

High
Category
MCP Tool Poisoning
Confidence
95% confidence
Finding
The skill claims it is only for product upgrade planning, but its instructions cover credential configuration, account inspection, paid report generation, schedule/watch management, competitor management, exports, and operational workflows. This capability expansion can mislead users into authorizing broader and more sensitive actions than the declared purpose suggests, increasing the chance of unintended charges and account changes.

Description-Behavior Mismatch

High
Confidence
92% confidence
Finding
The skill metadata says it is only for product upgrade planning and not for procurement, sales prediction, or automated execution, but this file adds broader 'product-operations' workflows. That scope expansion increases the chance an agent can invoke capabilities beyond the user's expected consent boundary, especially where workflows may trigger paid or operationally consequential analysis runs.

Description-Behavior Mismatch

High
Confidence
90% confidence
Finding
The skill includes watch/monitoring, alerts, leaderboard, benchmark, and workbench features that materially exceed the stated 'upgrade planner' role. Even if individually legitimate, bundling these extra capabilities widens the attack surface and makes policy bypass more likely because an integrating agent may call unrelated monitoring or competitive-intelligence functions under the guise of planning.

Vague Triggers

Medium
Confidence
82% confidence
Finding
The natural-language trigger conditions are broad enough to overlap with ordinary conversation about Amazon products and reviews. In a skill that can initiate paid data collection, account checks, or workflow execution, over-broad invocation raises the risk of accidental activation and unintended side effects.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
1. 运行 `check`,确认账户、邮箱验证状态和可用积点。
2. 用户要 VOC / 评论分析报告时,默认运行 `voc <ASIN> --site <站点>`。
   **返回里有 `autoConfirmed: true` 就说明已经直接生成了**(1.4.5 起:服务端对前几次小额
   付费操作免确认,用户先拿到结果再谈钱),此时把报告讲给用户,并转述 `autoConfirmNote`
   (本次扣了多少、还剩几次免确认、之后会先问)。**不要在拿到结果后再补问「要不要生成」。**
3. 返回 `confirmationRequired: true` 才需要用户确认:报出 `totalCredits` 与余额,
Confidence
96% confidence
Finding
The skill explicitly instructs the agent to run a paid VOC operation by default and accept service-side auto-confirmed charges without an immediate user confirmation in-session. Even if the backend allows this, it delegates spending authority to the tool/service policy rather than obtaining fresh user consent, creating a real risk of unauthorized charges.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
1. 运行 `check`,确认账户、邮箱验证状态和可用积点。
2. 用户要 VOC / 评论分析报告时,默认运行 `voc <ASIN> --site <站点>`。
   **返回里有 `autoConfirmed: true` 就说明已经直接生成了**(1.4.5 起:服务端对前几次小额
   付费操作免确认,用户先拿到结果再谈钱),此时把报告讲给用户,并转述 `autoConfirmNote`
   (本次扣了多少、还剩几次免确认、之后会先问)。**不要在拿到结果后再补问「要不要生成」。**
3. 返回 `confirmationRequired: true` 才需要用户确认:报出 `totalCredits` 与余额,
   用户同意后运行 `voc <ASIN> --site <站点> --confirm`。该命令会自动补齐采集、等待任务完成、
Confidence
95% confidence
Finding
This workflow authorizes running `voc --confirm` after minimal confirmation and notes that the command may automatically collect, wait, generate, save, and charge. The skill is therefore empowered to carry out multi-step, billable external actions with limited friction, which is dangerous in a natural-language context where consent may be ambiguous.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
用户只说自然语言。网页是补充视图(图表、分享链接、海报),不是把人送走的地方。

**确认与扣点**
- 报价返回 `autoConfirm: true` 时直接生成,不要再问「要不要」。生成后一句话交代:本次扣了多少、
  还剩几次免确认(或「免费版小额不问」)。策略由服务端决定:免费版小额不问;付费版前几次不问,之后先问。
- 用户说「以后别问了 / 50 以内直接做」→ 运行 `autoconfirm 50`;说「以后每次先问我」→ `autoconfirm off`;
  说「恢复默认」→ `autoconfirm default`。这是唯一需要你代用户设置的东西,设完复述一句当前规则。
Confidence
95% confidence
Finding
The instruction to proceed whenever pricing returns `autoConfirm: true` means the skill is designed to let billing decisions be made by backend policy rather than by explicit user approval. In a system with paid API usage, this is a genuine authorization weakness because normal conversational requests can trigger chargeable actions automatically.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
**确认与扣点**
- 报价返回 `autoConfirm: true` 时直接生成,不要再问「要不要」。生成后一句话交代:本次扣了多少、
  还剩几次免确认(或「免费版小额不问」)。策略由服务端决定:免费版小额不问;付费版前几次不问,之后先问。
- 用户说「以后别问了 / 50 以内直接做」→ 运行 `autoconfirm 50`;说「以后每次先问我」→ `autoconfirm off`;
  说「恢复默认」→ `autoconfirm default`。这是唯一需要你代用户设置的东西,设完复述一句当前规则。
- 报价需要确认时,只说两个数:这次多少积点、余额多少,然后等用户一个「好」。采集是**固定单价**:直接说「15 积点/页 × 3 页 = 45 积点」,不要说成「预计 / 最多」——价格不会浮动;商品评论不够这么多页时只收实际采到的页数,差额自动退回(`pricingNote` 已写好这句)。不要罗列参数。
Confidence
97% confidence
Finding
Because this same line authorizes persistent autoconfirm rule changes from short natural-language phrases, it increases the chance of accidental or socially engineered modification of billing preferences. The danger is amplified by the skill's broad natural-language entry model and its access to paid operations.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
**确认与扣点**
- 报价返回 `autoConfirm: true` 时直接生成,不要再问「要不要」。生成后一句话交代:本次扣了多少、
  还剩几次免确认(或「免费版小额不问」)。策略由服务端决定:免费版小额不问;付费版前几次不问,之后先问。
- 用户说「以后别问了 / 50 以内直接做」→ 运行 `autoconfirm 50`;说「以后每次先问我」→ `autoconfirm off`;
  说「恢复默认」→ `autoconfirm default`。这是唯一需要你代用户设置的东西,设完复述一句当前规则。
- 报价需要确认时,只说两个数:这次多少积点、余额多少,然后等用户一个「好」。采集是**固定单价**:直接说「15 积点/页 × 3 页 = 45 积点」,不要说成「预计 / 最多」——价格不会浮动;商品评论不够这么多页时只收实际采到的页数,差额自动退回(`pricingNote` 已写好这句)。不要罗列参数。
Confidence
97% confidence
Finding
Because this same line authorizes persistent autoconfirm rule changes from short natural-language phrases, it increases the chance of accidental or socially engineered modification of billing preferences. The danger is amplified by the skill's broad natural-language entry model and its access to paid operations.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
- 报价返回 `autoConfirm: true` 时直接生成,不要再问「要不要」。生成后一句话交代:本次扣了多少、
  还剩几次免确认(或「免费版小额不问」)。策略由服务端决定:免费版小额不问;付费版前几次不问,之后先问。
- 用户说「以后别问了 / 50 以内直接做」→ 运行 `autoconfirm 50`;说「以后每次先问我」→ `autoconfirm off`;
  说「恢复默认」→ `autoconfirm default`。这是唯一需要你代用户设置的东西,设完复述一句当前规则。
- 报价需要确认时,只说两个数:这次多少积点、余额多少,然后等用户一个「好」。采集是**固定单价**:直接说「15 积点/页 × 3 页 = 45 积点」,不要说成「预计 / 最多」——价格不会浮动;商品评论不够这么多页时只收实际采到的页数,差额自动退回(`pricingNote` 已写好这句)。不要罗列参数。

**新手(`check` 返回 `autoConfirm.mode` 为 `first_runs` / `free_small`,或问"然后呢")**
Confidence
84% confidence
Finding
Reducing confirmation to 'just two numbers' and waiting for a brief 'OK' is weak consent design for billable actions, especially where parameters and consequences may be non-obvious. While not as severe as direct auto-execution, it still increases the likelihood of users authorizing charges without understanding scope.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
voc B0... --site amz_us 是完整 VOC 的入口:先取得报价,已有足够评论时使用当前分析价格;
数据不足时合并采集与分析费用。符合服务端免确认规则且总额不超过上限时可能直接生成,
返回 autoConfirmed。否则返回 confirmationRequired,取得用户同意后追加 --confirm,
自动完成必要采集、等待、分析和归档。只读询价应使用 quote / collect 报价入口。

`collect --asin B0... --site amz_us --pages 3` 只返回报价;确认后追加
Confidence
85% confidence
Finding
This section explicitly says VOC generation may proceed automatically under server-side `autoConfirm` rules and can trigger collection, analysis, and archiving. In an agent skill context, that creates a real risk of paid or state-changing actions occurring without fresh user confirmation, especially if the agent treats quote responses as sufficient authorization. The surrounding documentation partially mitigates this by saying to obtain user consent and use quote/collect for read-only pricing, but the presence of an auto-execution path still increases danger.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
先调用 `quote --type ...`。报价字段:
`type, basePrice, price, sampledReviews, totalReviews, balance, sufficient`,
另有(1.4.5):`autoConfirm`(true = 服务端首次体验策略允许免确认直接生成)、
`autoConfirmMaxCredits`(免确认单次上限,采集 + 报告合计)、`autoConfirmRemaining`(还剩几次)、
`autoConfirmNote`、`webUrl`(该产品的网页报告页)。`sampleCap` / `degraded` 表示 Free 样本封顶与轻量模型。
`voc` / `analyze` 在 autoConfirm 命中时会直接生成,返回 `autoConfirmed: true` 与 `autoConfirmNote`,
并附 `web.report` / `web.product` 网页链接。
Confidence
87% confidence
Finding
This duplicate finding points to the same statement that `voc`/`analyze` may execute immediately under `autoConfirm`. In an agent context, the risk remains that a user asking for information or a quote could unintentionally trigger a billable analysis if the skill conflates eligibility with authorization.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
先调用 `quote --type ...`。报价字段:
`type, basePrice, price, sampledReviews, totalReviews, balance, sufficient`,
另有(1.4.5):`autoConfirm`(true = 服务端首次体验策略允许免确认直接生成)、
`autoConfirmMaxCredits`(免确认单次上限,采集 + 报告合计)、`autoConfirmRemaining`(还剩几次)、
`autoConfirmNote`、`webUrl`(该产品的网页报告页)。`sampleCap` / `degraded` 表示 Free 样本封顶与轻量模型。
`voc` / `analyze` 在 autoConfirm 命中时会直接生成,返回 `autoConfirmed: true` 与 `autoConfirmNote`,
并附 `web.report` / `web.product` 网页链接。
Confidence
87% confidence
Finding
This duplicate finding points to the same statement that `voc`/`analyze` may execute immediately under `autoConfirm`. In an agent context, the risk remains that a user asking for information or a quote could unintentionally trigger a billable analysis if the skill conflates eligibility with authorization.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
另有(1.4.5):`autoConfirm`(true = 服务端首次体验策略允许免确认直接生成)、
`autoConfirmMaxCredits`(免确认单次上限,采集 + 报告合计)、`autoConfirmRemaining`(还剩几次)、
`autoConfirmNote`、`webUrl`(该产品的网页报告页)。`sampleCap` / `degraded` 表示 Free 样本封顶与轻量模型。
`voc` / `analyze` 在 autoConfirm 命中时会直接生成,返回 `autoConfirmed: true` 与 `autoConfirmNote`,
并附 `web.report` / `web.product` 网页链接。

- `voc`: Markdown VOC 报告,SSE 聚合后在 `data.content`,并归档。
Confidence
86% confidence
Finding
Again, this is the same substantive issue: documentation of an `autoConfirm` path for immediate analysis generation. While not malicious, it is potentially dangerous in this context because the skill deals with paid actions and the file describes commands that may consume credits and archive outputs automatically.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
另有(1.4.5):`autoConfirm`(true = 服务端首次体验策略允许免确认直接生成)、
`autoConfirmMaxCredits`(免确认单次上限,采集 + 报告合计)、`autoConfirmRemaining`(还剩几次)、
`autoConfirmNote`、`webUrl`(该产品的网页报告页)。`sampleCap` / `degraded` 表示 Free 样本封顶与轻量模型。
`voc` / `analyze` 在 autoConfirm 命中时会直接生成,返回 `autoConfirmed: true` 与 `autoConfirmNote`,
并附 `web.report` / `web.product` 网页链接。

- `voc`: Markdown VOC 报告,SSE 聚合后在 `data.content`,并归档。
Confidence
86% confidence
Finding
Again, this is the same substantive issue: documentation of an `autoConfirm` path for immediate analysis generation. While not malicious, it is potentially dangerous in this context because the skill deals with paid actions and the file describes commands that may consume credits and archive outputs automatically.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
另有(1.4.5):`autoConfirm`(true = 服务端首次体验策略允许免确认直接生成)、
`autoConfirmMaxCredits`(免确认单次上限,采集 + 报告合计)、`autoConfirmRemaining`(还剩几次)、
`autoConfirmNote`、`webUrl`(该产品的网页报告页)。`sampleCap` / `degraded` 表示 Free 样本封顶与轻量模型。
`voc` / `analyze` 在 autoConfirm 命中时会直接生成,返回 `autoConfirmed: true` 与 `autoConfirmNote`,
并附 `web.report` / `web.product` 网页链接。

- `voc`: Markdown VOC 报告,SSE 聚合后在 `data.content`,并归档。
Confidence
86% confidence
Finding
Again, this is the same substantive issue: documentation of an `autoConfirm` path for immediate analysis generation. While not malicious, it is potentially dangerous in this context because the skill deals with paid actions and the file describes commands that may consume credits and archive outputs automatically.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
limit = int(value)
            except ValueError:
                emit(error_obj("ARI_BAD_ARGUMENT", 0, "参数不对",
                               "用法:autoconfirm 50(50 积点以内不问)/ autoconfirm off(每次都问)/ autoconfirm default(恢复默认)"),
                     args.compact)
                return
        out = request_json("PUT", "/api/v1/user/autoconfirm", {"limit": limit})
Confidence
74% confidence
Finding
This command allows changing the server-side autoconfirm threshold, which can enable future paid operations to proceed without a fresh per-action confirmation. In an agent setting, exposing this control broadens the risk of unintended spending because a workflow could first raise the threshold and then invoke chargeable actions with reduced user friction.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
limit = int(value)
            except ValueError:
                emit(error_obj("ARI_BAD_ARGUMENT", 0, "参数不对",
                               "用法:autoconfirm 50(50 积点以内不问)/ autoconfirm off(每次都问)/ autoconfirm default(恢复默认)"),
                     args.compact)
                return
        out = request_json("PUT", "/api/v1/user/autoconfirm", {"limit": limit})
Confidence
74% confidence
Finding
This command allows changing the server-side autoconfirm threshold, which can enable future paid operations to proceed without a fresh per-action confirmation. In an agent setting, exposing this control broadens the risk of unintended spending because a workflow could first raise the threshold and then invoke chargeable actions with reduced user friction.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
limit = int(value)
            except ValueError:
                emit(error_obj("ARI_BAD_ARGUMENT", 0, "参数不对",
                               "用法:autoconfirm 50(50 积点以内不问)/ autoconfirm off(每次都问)/ autoconfirm default(恢复默认)"),
                     args.compact)
                return
        out = request_json("PUT", "/api/v1/user/autoconfirm", {"limit": limit})
Confidence
74% confidence
Finding
This command allows changing the server-side autoconfirm threshold, which can enable future paid operations to proceed without a fresh per-action confirmation. In an agent setting, exposing this control broadens the risk of unintended spending because a workflow could first raise the threshold and then invoke chargeable actions with reduced user friction.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
if not ok(quote):
        return quote
    q_data = data_of(quote) or {}
    # 首次体验免确认(服务端策略 skill.autoConfirm):前几次小额直接生成,不再多问一轮。
    auto_confirmed = False
    if not confirm and q_data.get("autoConfirm") and q_data.get("sufficient"):
        confirm = True
Confidence
88% confidence
Finding
run_analysis() promotes a quote-only path into an actual paid execution when the server says autoConfirm is enabled and balance is sufficient, even if the caller did not pass --confirm. In an agent-integrated environment, that weakens the explicit-consent boundary and can cause paid analysis runs to occur without a fresh user confirmation in the current interaction.

Autonomous Decision Making

Medium
Category
Excessive Agency
Content
if plan is not None and plan["balance"]["note"]:
        combined_quote["siteNote"] = plan["balance"]["note"]
    combined_quote["webUrl"] = analysis_quote.get("webUrl")
    # 首次体验免确认:服务端 autoConfirm=true 且「采集 + 报告」合计不超过单次上限时,直接跑完。
    # 在聊天里多问一句「确认吗」,很多用户就不回了——先让他拿到结果。
    auto_max = int(analysis_quote.get("autoConfirmMaxCredits") or 0)
    auto_confirmed = (not args.confirm and bool(analysis_quote.get("autoConfirm"))
Confidence
90% confidence
Finding
The voc command can automatically proceed with both collection and analysis when server-side autoConfirm is true and total credits are within a threshold, even if --confirm was not provided. Because this combines multiple potentially chargeable operations, the consent risk is higher in an agent skill: an innocuous request can become a billable workflow without an explicit confirmation step in the current interaction.

Static analysis

No suspicious patterns detected.