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Security audit

亚马逊评论分析报告 · 一键生成VOC

Security checks for vulnerabilities and agentic risk

Overview

This skill can spend account credits during promised previews and resume paid work without a fresh user request.

Before use, set autoconfirm off to request approval before charges. Use quote for previews and --schedule manual for one-time collection. Review recurring competitor costs, and avoid deepdive until its preview protection is fixed. An unanswered quote should never authorize later paid work.

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
Finding

Deepdive can perform paid analysis despite its quote-only default

Content
View full analysis

Impact

An intended preview can consume account credits and generate an unwanted report. The same helper also defeats the intended quote-only downgrade when the ASIN is absent from the main-product list.

Vulnerability Patterns
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (83)

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

Most additional functions have explicit consent requirements, so expanded scope alone is not the vulnerability. However, the competitor-comparison workflow recommends binding a competitor that will then be collected weekly without attaching a recurring-charge consent step to that binding, creating a path from a one-off comparison to persistent activity and potential ongoing charges.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
96% confidence
Finding

Although Amazon ASIN and competitor monitoring are related to review analysis, recurring watch lifecycle management and per-refresh price acceptance are material capabilities not disclosed in the description. They go beyond supporting implementation details for generating and archiving reports. The supplied chunk invokes watch-management commands rather than explicitly generating reports; the underlying script implementation is not provided.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
93% confidence
Finding

Collecting reviews can support report generation, but configuring persistent weekly collection is a distinct capability not disclosed in the description. This chunk manages monitoring schedules rather than generating reports. The assessment is limited to the displayed CLI commands and comments; the underlying script implementation is not supplied.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
93% confidence
Finding

Digests and time-series retrieval could support the declared trend reports. However, managing recurring monitoring subscriptions with explicit per-refresh price acceptance is a material capability beyond the described report-generation and archival workflow. The snippet shows commands for these capabilities, though it does not establish that they were executed or that charges occurred.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
92% confidence
Finding

Digests and historical series reasonably support the declared reporting purpose. However, creating and managing persistent weekly monitoring with per-refresh pricing is a material capability beyond the described report-generation and archival workflow. The chunk contains reference command examples rather than evidence that these operations were actually executed.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
87% confidence
Finding

The supplied commands concern the watch/monitoring feature and its pricing, rather than generating, archiving, viewing, or exporting review reports. These capabilities are not disclosed in the description. The snippet only shows queries; it does not demonstrate enabling watches, collecting reviews, or incurring charges.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
86% confidence
Finding

The visible commands concern a recurring watch feature rather than generating, archiving, retrieving, or exporting review reports. This is a distinct user-facing capability not covered by the declared purpose. The underlying script is not supplied, so the evidence does not establish that these commands actually activate monitoring, incur charges, or access unrelated resources.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
82% confidence
Finding

The supplied command targets alerts, whereas the description presents an end-to-end review-reporting skill and does not mention alerts. This indicates a capability mismatch at the command level. The snippet does not establish whether alerts are retrieved, configured, or delivered, so no further behavior or resource access is inferred.

Content

No source excerpt is available for this finding.

Paid analysis and VOC collection can execute without the explicit --confirm flag promised by the module documentation.

High
Category
Excessive Agency
Confidence
99% confidence
Finding

run_analysis replaces missing caller confirmation with a server-provided autoConfirm value, allowing paid execution despite the documented explicit --confirm requirement. cmd_voc similarly extends an analysis quote's authorization to collection plus analysis, and deepdive's intended quote-only downgrade can also be bypassed through run_analysis.

Content

No source excerpt is available for this finding.

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

This entry documents using a server-returned autoConfirm flag to bypass confirmation for credit-consuming operations. The surrounding release notes describe an initial allowance without an amount ceiling, so server policy can authorize spending beyond an explicitly approved user budget; this is a documented consent-boundary weakness, not verified executable behavior.

Content

Scanner excerpt · CHANGELOG.md (reported line 23)May include surrounding context.

md
- 重新发布:各市场首批上架的 1.5.0 包早于免确认修复,新注册的免费版用户仍会被要求先确认报价。
  1.5.1 与当前官网下发的修复版一致,市场侧以新版本号覆盖旧包。
- 免确认只认服务端报价返回的 `autoConfirm`;采集报价扣除首次采集免费页;
  非美国站首次采集可用赠送积点时不再提示「赠送积点不可用」(行为与修复后的 1.5.0 相同)。
- 命令、字段与计费规则不变,不提高最低支持版本。

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
90% confidence
Finding

The documented default automatically collects data and generates a paid report, and explicitly removes the amount ceiling for the first N paid generations under server policy. A request for a report does not necessarily authorize an unspecified credit expenditure; displaying charges afterward and checking available balance do not establish prior spending consent.

Content

Scanner excerpt · CHANGELOG.md (reported line 32)May include surrounding context.

md
- 行为变更:新用户(注册并验证邮箱后)第一次要 VOC,只给 ASIN 即可(站点默认美国站),
  `voc` 直接执行——自动补采集(默认 3 页)、生成报告、按服务端定价扣费并归档,
  不再停在报价等确认。费用在报告返回的 `charges` 字段透明展示(采集/分析/合计/余额前后)。
- 免确认与否**只认服务端报价返回的 `autoConfirm` 布尔**:服务端策略前 N 次付费生成不看金额上限
  (新用户赠送积点按设计覆盖「3 页采集 + 一份 VOC」);用户自设阈值优先、显式要求「每次先问」
  时仍先报价;余额不足不自动。客户端不再从 `autoConfirmNote` 文案或 `autoConfirmRemaining`
  自行推断——文案匹配会把 Free 小额提示里的「先确认」误判成用户要求每次询问,恰好挡住新用户。

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

This match belongs to the same automatic-spending policy as the finding at line 32, rather than a separate vulnerability. Using a structured boolean instead of interpreting explanatory prose is sensible, but that boolean still cannot substitute for user authorization when the documented default has no spending ceiling.

Content

Scanner excerpt · CHANGELOG.md (reported line 34)May include surrounding context.

md
不再停在报价等确认。费用在报告返回的 `charges` 字段透明展示(采集/分析/合计/余额前后)。
- 免确认与否**只认服务端报价返回的 `autoConfirm` 布尔**:服务端策略前 N 次付费生成不看金额上限
  (新用户赠送积点按设计覆盖「3 页采集 + 一份 VOC」);用户自设阈值优先、显式要求「每次先问」
  时仍先报价;余额不足不自动。客户端不再从 `autoConfirmNote` 文案或 `autoConfirmRemaining`
  自行推断——文案匹配会把 Free 小额提示里的「先确认」误判成用户要求每次询问,恰好挡住新用户。
- 采集报价同口径扣除服务端 `trialFreePages`(首次采集试用免费页),避免新用户被误报「积点不足」。
- 非美国站:服务端 `credits.gift` 策略下用户首次采集不限站点,`credits/balance` 返回 `giftAllSites`,

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

This is a duplicate match for the same consent-boundary issue, not an additional attack path. The documented policy permits automatic credit spending based on server eligibility without a default amount ceiling, although honoring explicit user thresholds and confirmation preferences reduces the exposure.

Content

Scanner excerpt · CHANGELOG.md (reported line 34)May include surrounding context.

md
不再停在报价等确认。费用在报告返回的 `charges` 字段透明展示(采集/分析/合计/余额前后)。
- 免确认与否**只认服务端报价返回的 `autoConfirm` 布尔**:服务端策略前 N 次付费生成不看金额上限
  (新用户赠送积点按设计覆盖「3 页采集 + 一份 VOC」);用户自设阈值优先、显式要求「每次先问」
  时仍先报价;余额不足不自动。客户端不再从 `autoConfirmNote` 文案或 `autoConfirmRemaining`
  自行推断——文案匹配会把 Free 小额提示里的「先确认」误判成用户要求每次询问,恰好挡住新用户。
- 采集报价同口径扣除服务端 `trialFreePages`(首次采集试用免费页),避免新用户被误报「积点不足」。
- 非美国站:服务端 `credits.gift` 策略下用户首次采集不限站点,`credits/balance` 返回 `giftAllSites`,

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

This entry extends the same automatic paid-execution policy to multiple analysis types whenever autoConfirm is true. In this credit-billed skill, that broadens the operations capable of consuming credits without transaction-specific approval; returning charges afterward provides transparency but not prior consent.

Content

Scanner excerpt · CHANGELOG.md (reported line 41)May include surrounding context.

md
为 true 时赠送积点计入 `nonUsCollectCredits`、`siteNote` 为空;UK/DE/JP 卖家的第一份 VOC 同样一步直出。
- 余额不足仍在执行前拦截(402)并引导充值;定价以服务端配置为准,代码常量仅为兜底。
- 一致性:`analyze` 各类型(insight / keywords / trend / variant / compare)走同一口径,
  `autoConfirm=true` 即直接生成并返回 `charges`。
- 文档:移除所有写死的单价与合计示例。采集/分析单价与页数由后台 `pricing` 配置决定,
  一律以本次报价返回的 `credits` / `totalCredits` 为准,不得凭文档或记忆报数。

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · CHANGELOG.md (reported line 77)May include surrounding context.

md
- 能力层收窄:44 个专属包不再只是「声明窄」,包体 `scripts/ari.py` 同时按各自契约裁剪。
  构建期用 AST 删除文档未承诺的命令、它们的解析器注册块,以及只被它们引用的辅助函数与
  常量;专属包因此不再包含 `export`(任意路径写文件)、`autoconfirm`(撤销逐次确认)、
  `workbench`(改写差评处理状态)、`alerts`(标记预警已读)、`competitors`、`schedule`、
  `voc` / `analyze` / `charts` / `deepdive` 等母版命令。
- 新增运行期兜底闸:专属包在包内写入 `allowedCommands` 白名单,`ari.py`

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 660)May include surrounding context.

python
def cmd_autoconfirm(args):
    """免确认阈值:不带参数=查看;`autoconfirm 50`=50 积点以内不问;`autoconfirm off`=每次都问;`autoconfirm default`=恢复默认。"""
    value = (args.value or "").strip().lower()
    if value:
        if value in ("off", "ask", "0"):

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 660)May include surrounding context.

python
def cmd_autoconfirm(args):
    """免确认阈值:不带参数=查看;`autoconfirm 50`=50 积点以内不问;`autoconfirm off`=每次都问;`autoconfirm default`=恢复默认。"""
    value = (args.value or "").strip().lower()
    if value:
        if value in ("off", "ask", "0"):

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 660)May include surrounding context.

python
def cmd_autoconfirm(args):
    """免确认阈值:不带参数=查看;`autoconfirm 50`=50 积点以内不问;`autoconfirm off`=每次都问;`autoconfirm default`=恢复默认。"""
    value = (args.value or "").strip().lower()
    if value:
        if value in ("off", "ask", "0"):

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 672)May include surrounding context.

python
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})

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 672)May include surrounding context.

python
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})

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 672)May include surrounding context.

python
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})

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 677)May include surrounding context.

python
return
        out = request_json("PUT", "/api/v1/user/autoconfirm", {"limit": limit})
    else:
        out = request_json("GET", "/api/v1/user/autoconfirm")
    if ok(out) and isinstance(data_of(out), dict):
        d = data_of(out)
        d["note"] = AUTOCONFIRM_MODE_NOTE.get(d.get("mode"), AUTOCONFIRM_MODE_NOTE["ask"]).format(

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 1890)May include surrounding context.

python
p = sub.add_parser("check", parents=[common], help="验证 Key、账户和积点余额")
    p.set_defaults(fn=cmd_check)

    p = sub.add_parser("autoconfirm", parents=[common],
                       help="免确认阈值:autoconfirm 50 / autoconfirm off / autoconfirm default;不带参数查看")
    p.add_argument("value", nargs="?", default="")
    p.set_defaults(fn=cmd_autoconfirm)

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 1891)May include surrounding context.

python
p.set_defaults(fn=cmd_check)

    p = sub.add_parser("autoconfirm", parents=[common],
                       help="免确认阈值:autoconfirm 50 / autoconfirm off / autoconfirm default;不带参数查看")
    p.add_argument("value", nargs="?", default="")
    p.set_defaults(fn=cmd_autoconfirm)

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · scripts/ari.py (reported line 1891)May include surrounding context.

python
p.set_defaults(fn=cmd_check)

    p = sub.add_parser("autoconfirm", parents=[common],
                       help="免确认阈值:autoconfirm 50 / autoconfirm off / autoconfirm default;不带参数查看")
    p.add_argument("value", nargs="?", default="")
    p.set_defaults(fn=cmd_autoconfirm)